Senior Data Engineer at Tripledot

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline Orchestration, SQL, Python, Trino, BQ, Redshift, Big Data Technologies, Spark, Kafka, Flink, Cloud Infrastructure, AWS, GCP, Docker, Kubernetes, Data Modelling

Industry

Computer Games

Description

Senior Data Engineer Department: Group AI Employment Type: Permanent - Full Time Location: Barcelona, ES Reporting To: Douglas Penna Description Tripledot is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of – one filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our AI group The AI group works with all studios under Tripledot, engaging with Data teams, Products teams, and Engineering teams. Role Overview Working within a group function that is aimed to work with all group studios. Within the group AI functions you’ll be working with other AI / ML engineers, data engineers, analysts and product owners. Within the various studios you will interact with data, engineering, and product teams. The Group AI function’s goal is to make Tripledot an AI/ML-enabled company. You’ll be reporting to the Director of AI Engineering. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features. Progression opportunities will be within the AI group or to studios in the group. The first initiative you’ll be taking part of are LTV predictions and building the foundations of the data platform that will support it, with work continuing on helping integrate central AI/ML solutions into Tripledot games. Key Responsibilities Design, build, and maintain scalable and reliable data pipelines to support AI/ML initiatives across the studio. Collaborate with data scientists, ML engineers, analysts, and game developers to understand data needs and translate them into robust infrastructure solutions. Develop and maintain ETL/ELT workflows that ingest and transform structured and unstructured data from various sources (e.g., game telemetry, player behavior, marketing). Work with cloud platforms to manage and optimize data lakes, warehouses, and orchestration tools. Ensure data quality, consistency, and governance across all stages of the data lifecycle. Monitor and troubleshoot data pipelines and ensure timely delivery of data to downstream systems. Enable real-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization. Advocate for best practices in data engineering, including CI/CD, version control, testing, and observability. Required Skills, Knowledge and Expertise 4+ years of experience as a Data Engineer, ideally within gaming, mobile apps, or digital products. Hands-on experience with data pipeline orchestration (e.g., Airflow, Prefect, Dagster). Strong proficiency in SQL and Python. Experience with databases like Trino, BQ and Redshift is a plus. Proven track record of using big data technologies and distributed systems (e.g., Spark, Kafka, Flink) for large scale processing. Solid understanding of cloud infrastructure (mainly AWS, but understanding of other providers like GCP is a plus) and containerization (Docker, Kubernetes). Familiarity with machine learning workflows, feature stores, and model serving is a plus. Strong Data Modelling skills, schema evolution management and usage of open table formats, like Apache Iceberg. Usage of generative AI for daily tasks is a plus. Passion for gaming and an interest in using AI to create better player experiences. A collaborative mindset with strong communication skills and a product-focused approach. Working at Tripledot 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands. Life & Critical Illness Cover: Protect your future with our life and critical illness cover. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Employee Assistance Program: Access confidential support anytime through our Employee Assistance Program. Sport Compensation: Stay fit and active with our sport compensation benefit. Meal and Transport Vouchers: Save on meals and transport with our convenient vouchers. English & Spanish Classes: Enhance your English and Spanish skills with our provided language classes. Continuous Professional Development: Propel your career with continuous opportunities for professional development.

Responsibilities

The role involves designing, building, and maintaining scalable and reliable data pipelines to support AI/ML initiatives across studios, collaborating with various teams to translate data needs into robust infrastructure solutions. Key tasks include developing ETL/ELT workflows, managing cloud data platforms, ensuring data quality, and enabling real-time and batch processing for AI use cases.