Build data pipelines: integrate diverse sources (HTML, CSV, relational databases, embeddings) using scalable ETLs.
Modeling and optimization: design analytical models to generate KPIs and efficiently manage large data volumes.
DataOps and scalability: apply CI/CD, continuous monitoring, and optimize infrastructure.
Relevant experience with SQL / PL-SQL
Relevant experience with Python (pandas, Pyspark) and Apache spark
Relevant experience working with Data & Development teams
Experience with AWS services (EMR, Lambdas,…)
Fluency in Spanish and English
This gives extra points
Basic experience with data science environments
Basic experience with Vector database and with scraping engines
Work with multi-country and multi-source data.
Experience working in with financial data
Hybrid mode: 2 days in office 3 days in remote

Data Engineer - Renowned Company - Travel Required
We are looking for talented Data Engineers with a passion for big-data technologies and building robust data solutions that support advanced analytics.
This is an opportunity to work with modern data technologies, solve complex technical challenges and collaborate with both technical teams and clients.
Design and build scalable data solutions for advanced analytics.
Develop and maintain data pipelines and data processing solutions.
Apply big-data technologies to solve technical and analytical challenges.
Work with technologies such as Hadoop and Spark .
Write high-quality code using Python, Java, SQL and/or Scala .
Support machine-learning and advanced analytics initiatives.
Collaborate with data scientists, software engineers and other technical teams.
Continuously evaluate and improve data engineering processes and technologies.
You’ll ideally have an advanced degree in Computer Science or equivalent technical experience, together with a strong interest in big-data technologies.
Hands-on experience building data solutions for advanced analytics.
Strong knowledge of big-data technologies such as Hadoop and Spark .
Strong programming skills in Python, Java, SQL and/or Scala .
Experience working with large-scale data environments.
Knowledge of data processing and data pipeline development.
Familiarity with advanced analytics and machine-learning tools.
Experience with tools such as Anaconda and Spark .
Experience: 3+ years in Data Engineering, including 2+ years leveraging AWS data analytics solutions.
Core Technical Stack: Python, SQL, and PySpark / Apache Spark.
Cloud & Infrastructure: Hands-on expertise with AWS Data Services, Docker, and AWS ECS.
Experience building and managing data pipelines using Apache Airflow.
Professional fluency in both Spanish and English (written and spoken).
Data Processing & Streaming: Apache Kafka, Databricks, and dbt (data build tool).
BI & Development: QlikView / Qlik Sense and Java programming.
Experience working in Agile/Scrum environments.




Are you a Data Engineer seeking a new interesting challenge ?
If your answer is yes, it’s your lucky day so keep reading, it can be just what you're looking for !
Design, build, and maintain scalable, automated data pipelines using Python and SQL to integrate diverse internal and external data sources into the Snowflake Data Cloud.
Model, transform, and structure complex datasets to optimize data accessibility, performance, and storage efficiency.
Develop and maintain robust API integrations and connectors to ensure seamless data flow across enterprise systems.
Implement testing, monitoring, and validation frameworks to guarantee high data integrity, reliability, and accuracy across all pipelines.
Monitor, troubleshoot, and optimize data pipeline performance and Snowflake resources while enforcing robust security and access controls.
Python
SQL
Snowflake
Airflow
Minimum 3 years of experience as a Data Engineer or in similar roles, designing, building, and maintaining scalable data pipelines and ETL/ELT solutions.
Hands‑on experience with Python, SQL, Snowflake, and cloud-based data platforms, with a strong focus on data modeling, integration, quality, and performance optimization.
English: Permanent contract - We offer indefinite contracts from the first day.
Pay and benefits - Competitive salary and a flexible compensation plan adapted to your needs (Ticket restaurant plan, Childcare Ticket, Transport Ticket and Health Insurance).
Work from home - We offer you a financial support every month for your working from home expenses . Opportunity knocks - Being a part of a growing company, we want to support your path with a career development plan and annual performance-based compensation reviews .
Bring your buddy - If you have referred a friend for an open position under the BYB Scheme and she/he is hired you’ll receive a very attractive cash award.
Benefit from being a TCSer - By being part of the TCS Spain family you can enjoy benefits, offers and corporate discounts on the best brands .
Tata Consultancy Services (TCS) is an Information Technology (IT) company founded in 1968 as part of the Indian Tata Group and is one of the top 3 technology companies globally
With a presence in 55 countries and more than 590,000 employees , TCS is considered one of the 10 best companies to work for worldwide in 2026 according to the Top Employers Institute
TCS Spain started operations in 2001 and currently has a diverse workforce that collaborates with the main Spanish and multinational companies
In 2026, TCS Spain has been recognized as a Top Employer ,



named one of the 100 Best Companies to Work for in Spain by Forbes , and ranked among the most attractive employers for Generation Z by Joinrs
Among the portfolio of services, TCS has information technology services , asset-based solutions , general consulting , engineering and industrial services , digital solutions and services , application maintenance and development , quality assurance and testing services , IT infrastructure and BPS
It’s our promise to you.
At Intact Insurance, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that’s aligned to our targeted customer groups.
This job involves developing and delivering Management Information (MI), providing key trends and better MI developments whilst supporting best practice. You will work within Intact Insurance Europe Change & Continuous Improvement team to help shape the needs and requirements of the business to support better MI and data quality. The role strongly focuses on the development, maintenance and continuous improvement of reporting solutions and involves forming and maintaining a strong relationship within organizational functions to capture all data and MI needs and priorities to provide a clear picture of business performance.
This includes driving reporting solutions from data preparation and validation through modelling, visualization, implementation and ongoing maintenance. The role is key to driving consistency across our business to improve efficiency & ensure that the right work is done in the right place with the right controls & at the right cost.
The role connects with the business through MI and aims to influence various functions across Intact Insurance Europe in their decision making, ensuring the right business outcomes from data visualization
The individual will have a strong knowledge of information management and analysis background, working with the various functions to gain understanding of the various Intact Insurance business units
The individual will work with necessary IT functions where required to enable better technology and capabilities, to help unify data from a variety of both internal and external sources
This role requires an experienced business-focused Data analyst with a proven track record of optimized delivery aligned to operational effectiveness. The ability to combine strong analytical and BI capabilities with practical, hands‑on approach to delivering reporting solutions, influence key stakeholders to secure buy in and develop the plans required to execute targeted outcomes will be key to success.
Some Data Engineer responsibilities include but are not limited to:
~ Improve data quality and reliability through analysing raw data,

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📌 Data Engineer-Big Data. Teletrabajo (Madrid)
🏢 Igeneris
📍 Madrid