Nuestro cliente, es una compañía española pero con un aire muy internacional, con hasta 20 nacionalidades entre sus filas.
De base tecnológica, desarrolla su negocio en un nicho de mercado de mucho éxito, desde hace ya 12 años, por Europa, Asia, Africa y América del Norte y del Sur.
Necesitamos reforzar el equipo de desarroladores de sus oficinas centrales de Cornellà de Llobregat con un Senior Backend Python Developer.
FUNCIONES:
OFRECEMOS:
Nuestro cliente es una compañía americana de Tecnología con producto propio, en plena expansión internacional y orgullosa de su innovación en la creación de soluciones tecnológicas.
About us
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. We're now preparing to launch Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
Join RavenPack:
RavenPack is seeking a skilled Data Scientist to join our Data Science Factor Team at our Spanish headquarters. In this role, you will play a pivotal part in supporting the validation of new data products and LLM-driven agents, while also contributing to the productization of innovative factors and workflows. Your focus will include developing proof-of-concept applications that enhance the usability and effectiveness of our data solutions.
Your Responsibilities:
Collaborate with a diverse team of data scientists and engineers to develop and refine innovative data products, ensuring they meet the highest standards of quality and relevance.
Engage in the design and implementation of data pipelines that facilitate the extraction, transformation, and loading (ETL) of structured and unstructured data for analysis and modeling.
Validate and assess the outputs from the Data Science Research Team, ensuring that the data products are robust, accurate, and aligned with business objectives.
Conduct data quality checks and implement validation processes to maintain the integrity of data throughout the product life-cycle.
Share insights and findings with both technical and non-technical stakeholders, contributing to a culture of knowledge sharing and continuous improvement.
Document processes and methodologies related to data science and engineering practices, promoting transparency and best practices within the team.
What We're Looking For:
Bachelor/MSc in a quantitative field such as Data Science, Computer Science, Engineering, Applied Mathematics, or a related discipline
Strong analytical, quantitative, and problem-solving skills, with a proven track record of applying these skills in real-world scenarios.
Proficiency in programming languages such as Python, with experience in developing data processing pipelines and utilizing libraries for data analysis.
Familiarity with SQL and experience working with relational databases; knowledge of NoSQL databases is a plus.
Experience in implementing data quality checks and validation processes, ensuring data integrity and reliability.
Strong communication skills, with the ability to articulate complex concepts clearly and effectively to diverse audiences.
Desired Skills:
Familiarity with cloud platforms (e.g., AWS) and experience with data engineering tools and technologies.
Practical experience with Natural Language Processing (NLP) and large language models (LLMs).
Exposure to big data technologies and frameworks, as well as familiarity with machine learning techniques and agentic workflows.
What's in it for you?
Growth Opportunity: Join a team building AI that truly matters, contributing to making Gen-AI useful for finance and business research in a rapidly growing company with 180+ team members across offices in Marbella and New York.
Our Headquarters is located in Marbella. Following the initial onsite onboarding period, we offer a hybrid work model, allowing for up to 2 days remote per week.
Free Company shuttle bus from Malaga, Fuengirola, Riviera and Estepona.
You will have ownership of projects working in a collaborative environment where we will value your contribution.
You will work in an agile environment able to react quickly to changes with a fairly flat hierarchy.
As we encourage continuous learning, we will support your ongoing training.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
Desde Grupo Planeta nos encontramos en la búsqueda de un/a Data Analyst Intern apasionado por la gestión de datos para nuestra división de Planeta DeAgostini La misión es crear herramientas y análisis que guiarán las decisiones estratégicas de equipos de Marketing y Operaciones.
¿Cuáles serían tus principales funciones?
At Grupo Planeta, we are looking for a Business Analyst Intern for our Planeta DeAgostini division. The mission is to support Marketing & Procurement teams in analysing procurement calendars and planned quantities, as well as contolling of the execution of the decision made after such analysis.
What would your main responsibilities be?
De qué va la empresa en la que trabajarás?
Somos una empresa especializada en transformación digital y comprometida con las personas. Nuestro enfoque se centra en impulsar la aceleración digital tecnológica de la sociedad a través de las apps (mobile, web & IA) y la captación de talento IT.
Durante estos años, nuestros +100 empleados han trabajado con centenares clientes en +3.000 soluciones, ofreciendo una perspectiva holística en la interpretación del reto que implica la transformación digital de sus organizaciones.
¿En qué creemos?
Nos basamos en cuatro valores fundamentales:
About us
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. We're now preparing to launch Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
Join RavenPack:
RavenPack is searching for a Quantitative Researcher / Data Scientist to join the Data Science - QIS Team at our Spanish headquarters.
As a Quant Researcher, you will be participating in the development of new agentic workflows utilizing our semantic search engine, showcasing the value of our RavenPack data for excavating insights.
The ability to communicate effectively in English both in writing and verbally is a must.
European legal working status is required.
We offer competitive compensation, active mentoring, exposure to the top trading firms, and a fun working environment. Relocation assistance is available.
Your Responsibilities:
As a Quant Researcher, you will join the “Quantitative Investment Strategies (QIS) Team,” consisting of four quant researchers dedicated to feature engineering and developing systematic trading strategies. Your work will primarily involve data-driven research. You will create research workflows to enhance RavenPack’s reputation as a thought leader in the alternative data industry and present systematic workflows to conduct fundamental analysis. You will work jointly with the Head of QIS on practical use cases that demonstrate the value of RavenPack data. Additionally, your responsibilities will include:
Understanding accurately the fundamental implications of a topic on the macro and microeconomy.
Developing chain-of-thought agents to mimic a human professional analyst using our data, while discerning and filtering out irrelevant information.
Offering data-driven insights, engaging in research discussions, and presenting features to leading financial analysts, quantitative researchers and portfolio managers in the field.
Effectively communicating intricate analytical concepts to management in a clear and concise manner.
What We're Looking For:
A MSc in Data Analysis, Quantitative Finance, or Economics.
2+ years of relevant work experience as a data scientist or quantitative researcher, manipulating large and noisy alternative datasets for features engineering.
Outstanding analytical, critical-thinking, and problem-solving skills, with proven ability to conduct fundamental analysis in a systematic and quantitative way.
Demonstrated proficiency in Python, and in at least Dash, StreamLit, or RepLit web applications.
Strong enthusiasm for technology, and familiarity with big data technologies coupled with proficiency in language models is highly advantageous.
What's in it for you?
You will work with the latest technologies.
Our Headquarters is located in Marbella. Following the onboarding period, we offer a hybrid work model, allowing for up to 2 days remote per week.
Free Company shuttle bus from Malaga, Fuengirola, Riviera and Estepona.
You will have ownership of projects working in a collaborative environment where we will value your contribution.
You will work in an agile environment able to react quickly to changes with a fairly flat hierarchy.
As we encourage continuous learning, we will support your ongoing training.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Us
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. We're now preparing to launch Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
About the Role
Step into the innovative role of Marketing Operations Analyst, where your expertise in coding, automatization, and analysis will be pivotal in enhancing our marketing strategies and operations. As a key member of our marketing team, you will leverage your technical skills to streamline processes, optimize data management, and support cross-functional projects that drive our business forward.
In this role, you will be responsible for managing and improving our marketing infrastructure, ensuring seamless integration of various tools and platforms. Your technical acumen in automation tools, such as Zapier, will enable you to connect and enhance the productivity of the department and the organization as a whole.
Thanks to your proficiency in data strategy and manipulation, you will ensure the accuracy and consistency of our data, enhancing its quality and allowing you to extract insights that will drive our strategic decisions.
You will also collaborate closely with our sales, finance, and Data Science teams to align marketing initiatives with overall business requirements. Thus, your role will involve extensive use of CRM systems, on which you will need to apply your management skills to respond to the needs of projects or stakeholders.
Your contributions will directly impact the efficiency and effectiveness of our marketing department, making a significant difference in our ability to attract and retain clients. Join us in this exciting role where your technical skills and strategic thinking will drive the continuous improvement of our marketing efforts.
What you Need to Succeed
Your Responsibilities
What's in it for you?
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Us
At RavenPack, we are pioneers in developing cutting-edge generative AI tools for the finance industry and beyond. With over 20 years of experience as a leading provider of big data analytics for financial services, we empower our clients—including some of the world’s most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. We are preparing to launch Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
Who We’re Looking For
We are seeking a talented Revenue Analyst to join our Sales team in Marbella, Spain. In this role, you will leverage tools such as Salesforce CRM to enhance our sales, client services, and marketing strategies. Your mission will be to ensure CRM data integrity, create insightful reports, and build strategic dashboards that drive decision-making. You will work closely with executive leadership to refine go-to-market strategies and use your expertise in Salesforce and Power BI to deliver actionable insights. Reporting to the Director of Sales, you will also support the launch of our GenAI and SaaS services, including the Bigdata platform.
Note: European Union’s legal working status is required.
Requirements
Salesforce Reporting: Proficiency in Salesforce reporting tools with the ability to build customized reports and dashboards for executive management.
Sales Forecasting: Expertise in Sales Forecasting to predict performance and resource allocation.
Data Management: Strong experience in data cleanup, de-duplication, and data quality management.
Integrations: Knowledge of Salesforce integrations with other systems and tools.
Power BI: Experience with Microsoft Power BI for data visualization is a plus.
Data Analysis: Experience with Excel or Google Sheets. Python experience is a plus.
Analytical Skills: Strong analytical skills with attention to detail and accuracy.
KPI Management: Proven ability to develop, manage, and articulate KPIs, including common SaaS metrics such as MRR, CAC, lead-to-customer, etc., to measure performance and provide actionable business intelligence.
Process Improvement: Self-motivated with a proactive approach to data analysis and process improvement.
English Proficiency: Excellent communication skills in English, both written and verbal; Spanish is a plus but not required.
Presentation Skills: Proficiency in creating and delivering presentations and reports for executive management.
Responsibilities
Develop and Maintain Reports: Create and manage reports and dashboards for campaigns and opportunities to provide actionable insights.
Sales Forecasting: Support strategic planning by predicting sales trends and performance.
Collaborate with Leadership: Work with leadership to define go-to-market strategies and track performance metrics effectively.
Conduct Data Analysis: Analyze data to identify trends and opportunities for improvement.
Enhance Data Quality: Perform data cleanup and standardization to ensure high-quality and consistent information in the CRM.
Improve Sales Processes: Lead initiatives to enhance sales processes and optimize workflows.
What’s in it for you?
International Culture: With its headquarters in Marbella, Spain, and presence in New York and London, RavenPack takes pride in being a truly diverse global organization.
Competitive Salary: In RavenPack, we believe that your time and experience needs to be fairly rewarded.
Continuous learning: We provide the support needed to grow within the team.
Innovation: Innovation is the key to our success, so we encourage you to speak up and tell us about your vision.
Hybrid work arrangement
Shuttle bus: From Malaga, Fuengirola, La Riviera, and Estepona is available for free from the company.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
About Us
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. You will be working on Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
About the Role
RavenPack's Bigdata Store is a critical new initiative to revolutionize how we ingest, manage, and index unstructured financial data at scale. We are seeking a Senior Data Engineer to play a pivotal role in building and maintaining this cutting-edge system. As a Senior Data Engineer proficient in Python and Java, you will play a crucial role in designing, implementing, and maintaining robust data pipelines to stream real-time content and manage efficient on-boarding of content archives. You will work closely with cross-functional teams to ensure scalability, reliability, and performance of our systems.
The Bigdata Store is an innovative platform designed to provide seamless access to vast collections of structured and unstructured datasets. These datasets can be directly accessed by the Bigdata AI assistant and through its API, enabling businesses, researchers, and developers to leverage data-driven insights more effectively. The product will cater to business and finance users, by providing relevant and timely data that enhances decision-making processes.
As part of a newly established team based in Madrid, you will work in a focused and independent way to deliver the Bigdata Store. The small team shall comprise developers, product managers and project management professionals. Everyone is expected to be excellent at what they do and be driven towards success. Team leadership is a possibility depending on your interests and background.
The ability to communicate effectively in English both in writing and verbally is a must. Knowledge of Spanish is appreciated but not a business requirement. Only candidates with EU legal working status will be considered.
What Will You Do?
Design, build, and optimize robust data pipelines to collect, process, and transform large volumes of unstructured data from diverse sources into our new index.
Collaborate with product managers and stakeholders to understand requirements and translate them into technical solutions.
Architect and implement serverless architectures for efficient resource utilization and scalability.
Ensure code quality, performance, and security through code reviews, testing, and best practices.
Troubleshoot and debug production issues, providing timely resolutions to ensure system reliability.
Stay updated with emerging technologies and industry trends, recommending and incorporating relevant tools and practices into the development process.
What Must You Have?
Bachelor's degree in Computer Science, Engineering, or a related field.
Proven experience as a Software Engineer with expertise in Python and Java using frameworks like SpringBoot, Quarkus or similar.
Hands-on experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, Travis CI).
Familiarity with containerization technologies (Docker, Kubernetes).
Experience with cloud platforms and services (AWS, Azure, GCP).
Knowledge of serverless architectures and experience with related technologies (AWS Lambda, Azure Functions, Google Cloud Functions).
Hands-on experience with relational and no-SQL databases.
Solid understanding of software development best practices, design patterns, and clean code principles.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration abilities.
What Will Be Appreciated?
Proven track record of building and maintaining production-ready data pipelines using tools like Apache Airflow, Luigi, or similar workflow orchestration frameworks.
Experience with big data frameworks like Apache Spark, Flink, Kafka or AWS Kinesis.
Experience working in Agile/Scrum development environments.
Experience with reactive programming and frameworks like Project Reactor.
Experience with document-oriented & search databases like Elasticsearch and Vespa.
Experience with software testing methodologies.
What's In It For You?
Work in the center of Madrid, a cosmopolitan city and the center of cultural activity in Spain.
Growth Opportunity: Join a team building AI that truly matters, contributing to making Gen-AI useful for finance and business research in a rapidly growing company with 180+ team members across offices in Marbella and New York.
You will have ownership of projects working in a collaborative environment where we will value your contribution.
You will work in an agile environment able to react quickly to changes with a fairly flat hierarchy.
As we encourage continuous learning, we will support your ongoing training.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About us
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. We recently launched Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
Join RavenPack:
RavenPack is searching for a Senior Quantitative Researcher to join the Data Science - QIS Team at our Spanish headquarters, Marbella. We offer competitive compensation, active mentoring, exposure to the top trading firms, and a fun working environment. Relocation assistance is available.
As a Senior Quant Researcher, you will be participating in the development of new systematic trading strategies, as well as showcasing the value of our data for trading and investment purposes across equities mostly and time horizons.
The ability to communicate effectively in English both in writing and verbally is a must. European legal working status is required.
Your Responsibilities:
As a Senior Quant Researcher, you will join the “Quantitative Investment Strategies (QIS) Team,” consisting of four quant researchers dedicated to feature engineering and developing systematic trading strategies. Your work will primarily involve bottom-up research, with some top-down research opportunities. You will create white papers to enhance RavenPack’s reputation as a thought leader in the alternative data industry and present trading strategies to quantitative analysts. You will independently work on practical use cases that demonstrate the value of RavenPack data. Additionally, your responsibilities will include:
Identifying, validating, and amplifying predictive signals within our data while discerning and filtering out irrelevant information.
Formulating systematic trading strategies spanning multiple asset classes with a major focus on equities, enriching security-selection capabilities with Alternative Data across different holding periods.
Offering data-driven insights, engaging in discussions about your research, and presenting trading strategies to leading quantitative researchers and portfolio managers in the field.
Effectively communicating intricate analytical concepts to management in a clear and concise manner.
What We're Looking For:
A PhD/MSc in Quantitative or Computational Finance, or from any related fields including Machine Learning, Econometrics, Applied Mathematics, etc.
5+ years of relevant work experience as a quantitative researcher, manipulating large and noisy alternative datasets for features engineering, signal amplification, and portfolio backtesting.
Outstanding quantitative, analytical, and problem-solving skills, with proven ability to develop original research and hypothesis testing.
Demonstrated proficiency in at least Python and SQL.
Strong enthusiasm for technology, and familiarity with big data technologies coupled with proficiency in machine learning is highly advantageous.
What's in it for you?
You will work with the latest technologies.
Our Headquarters is located in Marbella. Following the onboarding period, we offer a hybrid work model, allowing for up to 2 days remote per week.
Free Company shuttle bus from Malaga, Fuengirola, Riviera and Estepona.
You will have ownership of projects working in a collaborative environment where we will value your contribution.
You will work in an agile environment able to react quickly to changes with a fairly flat hierarchy.
As we encourage continuous learning, we will support your ongoing training.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Us
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. We're now preparing to launch Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
What are we looking for?
We are looking for a MLOps Engineer to join a team responsible for building and maintaining the entire ML infrastructure. Taking offline models and turn them into real production systems will be one of the main activities. In addition, designing and developing comprehensive test and monitoring strategies will be also required. The candidate must have all the technical skills for implementing and maintaining the infrastructure in the cloud. The ideal candidate must have a proven track record in MLOps/DevOps or software automation projects and the ability to understand complex software solutions. The candidate will have experience in all phases of the software development life cycle, from requirements gathering, designing CI/CD pipelines, integration testing, monitoring ML models performance, and supporting production systems.
The ability to communicate effectively in English both in writing and verbally is a must. Knowledge of Spanish is not a business requirement. European Union's legal working status is required.
About you
We want you to be a software passionate, with a strong technical background. You will be facing awesome challenges by covering all the ML development lifecycle stages and using the latest technologies for it.
How will you do it?
First month
The onboarding process starts.. You will be having scheduled meetings with the main stakeholders of the different teams in order to get an overall understanding about all company’s products and specifically focused on the projects you will be working on. You will start participating in the scrum ceremonies and also reviewing the actual ML processes and infrastructure.
After 3 months
Now you are able to start contributing to the ongoing work related to existing ML infrastructure and start collaborating closely with QAs, ML, and DevOps engineers. Since now you have the overall view of the products and the tech stack, you can propose new initiatives and strategies and start working on them.
6 months in
Now you are fully aware of all the company products and ongoing projects and you have the know-how to work with them. You became a key member of the team and you are contributing successfully to the different ML development phases. You are creating comprehensive deployment and monitoring strategies in a CI/CD environment. Also, you are able to provide guidance about good practices and collaborate with different teams.
Requirements:
Experience in applying software engineering concepts and best practices to the entire machine learning development lifecycle including deployments and monitoring of the ML models in production environments.
Experience in implementing and optimizing data pipelines for the ML workflows.
Experience in designing and implementing CI/CD strategies (e.g., AWS Sagemaker, Azure, Vertex).
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and understanding of machine learning concepts.
Proficiency in Python and knowledge in Scripting languages.
Database knowledge: SQL and NoSQL.
Ability to set priorities and multi-task in a fast-paced environment.
Necessary skills to perform root cause analysis when defects occur.
Excellent analytical, problem-solving, communication, and interpersonal skills.
BSc/BA in Computer Science or Engineering or equivalent experience.
Nice to have
Experience setting and configuring monitoring and observability alerts.
Familiarity with QA processes.
Familiarity with LLMs model evaluation.
Familiarity with AWS services.
Experienced as a software developer or architect.
What's in it for you
You will work with the latest technologies.
You will have ownership of projects working in a collaborative environment where we will value your contribution.
You will work in an agile environment able to react quickly to changes with a fairly flat hierarchy.
As we encourage continuous learning, we will support your ongoing training.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
About Us
RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. RavenPack’s products allow clients to enhance returns, reduce risk, and increase efficiency by systematically incorporating the effects of public information in their models or workflows. Our clients include the most successful hedge funds, banks, and asset managers in the world!
Do you like when pieces just fit together and everything is tied and ordered? Do you do the same at your IT work? Join RavenPack in contributing to the growth and cutting edge technology in big data.
As our FinOps, your role will primarily involve managing and enhancing cloud costs for RavenPack. You'll collaborate within a team to implement and uphold FinOps practices and methodologies, emphasizing the analysis of cloud usage and expenditure data to pinpoint areas for cost optimization.
The ability to communicate effectively in English, both in writing and verbally are a must. European Union legal working status is required.
As a FinOps, you must possess a robust comprehension of cloud technology, financial management principles, and data analysis. Proficiency in utilizing tools and software for managing and analyzing cloud spending data. Additionally, strong communication and collaboration skills are imperative.
You will be managing relationships with dozens of IT suppliers and providers, from Amazon Web Services to Snowflake, other technology providers (Google, ISPs…) etc. Your main responsibility will be to help identify new vendors, to keep costs under control, and to mature those relationships for a satisfactory workflow.
You will track down costs, make inventories, develop automation scripts, and be in charge of the providers roster and renewals calendar. You will be part of the Operations Team, so a minimum SysAdmin experience is required.
Responsibilities:
Monitor and analyze cloud usage and spending data to pinpoint cost-saving opportunities.
Collaborate with finance, operations, and technology teams to spearhead cost optimization initiatives.
Recommend adjustments to cloud service usage, pricing models, and purchasing options.
Develop and maintain financial forecasts and track cloud costs.
Create reports and dashboards to monitor and communicate cloud cost optimization efforts to stakeholders.
Translate reports and forecasts into stakeholders insights (ROI, risk analysis…)
Support to research and select external cloud solutions and services
Design internal data policies and processes
Conduct training sessions for colleagues
Troubleshoot operational and performance issues
Fulfilling on-call duties as part of the team
Requirements:
Experience in FinOps or equivalent experience in IT budgeting
+1 years SysAdmin experience (Windows/Linux)
+1 years of Cloud experience
Proficiency in Excel or Google spreadsheets
Ability to communicate effectively to stakeholders
Desirable:
Scripting skills in Bash, Python or similar
Experience in a troubleshooting On Call environment
Ability to visualize data in business intelligence tool, such as PowerBi, Tableau or QuickSight
What's in it for you?
You will work with the latest technologies.
Our Headquarters is located in Marbella. We are offering Hybrid work.
Free Company shuttle bus from Malaga, Fuengirola, Riviera and Estepona.
You will have ownership of projects working in a collaborative environment where we will value your contribution.
You will work in an agile environment able to react quickly to changes with a fairly flat hierarchy.
As we encourage continuous learning, we will support your ongoing training.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
Nuestro cliente es una empresa de gran envergadura en el sector de Tecnología y Telecomunicaciones. Con un enfoque en la innovación, esta empresa se enorgullece de su capacidad para liderar el camino en su industria, ofreciendo soluciones de alta calidad a sus clientes en todo el mundo. El centro de trabajo está ubicado en Hoyo de Manzanares.
Empresa de desarrollo de soluciones territoriales.
Nuestro cliente es una empresa de tamaño medio que se enfoca, gracias a su producto, en mejorar las ventas de las compañías mediante recomendaciones personales de sus clientes satisfechos.
Our client is a global provider of advanced solutions for the automotive industry. Their focus is on driving the transformation towards more sustainable and efficient mobility. onomy.
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