Analytics Engineer

Location : We are flexible! Come and join us either in Hamburg, Berlin or Barcelona.

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

We're seeking a talented Analytics Engineer (m/f/d) to join our Data Team and collaborate with Data Analysts, Developers, and Data Scientists, in implementing a Data Mesh architecture that will enable our domains to access trusted data to unlock business opportunities easily.

Imagine empowering teams with the data they need to make game-changing decisions. Data puzzles excite you? Do you thrive in a collaborative environment where you can shape the future of data infrastructure? If so, we want you!

Be ready to work in a multinational, diverse, highly motivated, and collaborative team of passionate data professionals who strive for excellence and like to have fun. Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

• Providing expertise and collaborating with stakeholders to develop new data products and improve on existing ones in a Data Mesh environment
• Continuously engaging with data analysts, data scientists, and software engineers to gain an understanding of the problems that need to be solved, gathering requirements, and defining the best deliverables to match the business needs
• Working hand-in-hand with developers to create and capture data that aligns with business logic, enabling powerful modeling and analysis
• Own the quality, availability, and trustworthiness of data by applying data quality checks and data contracts
• Performing data analysis to troubleshoot data-related issues and assist in resolving them
• Designing, building and maintaining the definitive source of truth for KPIs, empowering strategic decisions across all domains
• Working towards the creation of an environment where self-service capabilities are available and data can be accessible by everyone

Our Tech Tools : SQL | Python | Databricks | Tableau | Mixpanel | Airflow | AWS | Kafka | Debezium

TO BE SUCCESSFUL IN THIS ROLE:

• You have curiosity in your essence, aligned with attention to detail

• Previous experience in working in a data-driven analytics environment, preferably within tech product organizations
• Expert level of SQL (especially SparkSQL) and experience in building data pipelines is a core requirement.
• You have good knowledge of at least one programming language and are happy to learn more. Our core language is Python.
• Exceptional analytical skills , lateral thinking, and proven experience in solving highly challenging problems
• Experience in working with data visualization tools (e.g.Tableau, Qlikview) and event tracking (e.g. Mixpanel, Google Analytics)
• Excellent English communication skills
• Hands-on experience with AWS, Hive, Spark, Trino, Databricks, and Airflow is helpful

BENEFITS & PERKS IN A NUTSHELL:

• LinkedIn Learning

• WeRoad partnership

• Short term EU work policy

• Health insurance

• Employee assistance program

Plus more local benefits depending on your work location!

DIVERSITY, EQUITY & INCLUSION:

Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work .

ABOUT US:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app.

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?