Data Engineer

At ExWo we’re building a global digital platform focused on fairness, simplicity, and radical transparency. We’re not here to reinvent the wheel – we’re here to make it turn better.

Our mission is simple: put users first, cut the nonsense, and build a product that earns trust every step of the way.

We’re looking for a Data Engineer to help us build and maintain reliable data pipelines, data models, and processes that support reporting, analytics, and business decision-making.

You’ll work closely with Engineering and business stakeholders to understand data needs, improve existing data processes, and help shape a scalable and reliable data environment.

What You’ll Do:

• Develop and maintain scalable data pipelines for loading data from different sources into the DWH.
• Collaborate with cross-functional teams, including Engineering, and business stakeholders, to define and understand data requirements.
• Data Modeling and Transformation: Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics.
• Ensuring Data Quality: Develop and apply data quality checks, validation frameworks, and monitoring to ensure the consistency, accuracy, and reliability of data.
• Performance and Efficiency: Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability.
• Optimize and fine-tune existing data processes for improved performance.
• Create and maintain reports on regulatory requirements and internal business needs.
• Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities.

What We’re Looking For:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in a data warehouse engineering or related role.
• Experience with cloud data warehousing technologies, such as Amazon Redshift, Snowflake, or Google BigQuery.
• Good programming skills in Python.
• Proficiency with SQL and data modelling.
• Experience with pipeline orchestration tools (e.g., Airflow, Dagster).
• Experience working with Git.
• A growth mindset - enthusiastic about learning new tools, sharing knowledge, and improving team practices.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork skills.
• Fluency in English.

Nice to Have:

• Experience with stream processing frameworks (e.g., Apache Kafka).
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Experience with data visualization tools (e.g., Looker, Tableau, Power BI).
• Understanding of CI/CD principles and experience implementing automated deployment processes.
• Experience with DBT.

What We Offer:

• Competitive salary and discretionary performance bonus.
• Premium private health insurance, including dental care.
• €50 monthly flexible benefits allowance.
• Up to 25 days of paid annual leave.
• Hybrid working, including 1 work-from-home day per week.
• Opportunity to grow and have a real impact in a fast-moving international company.
• A collaborative environment where ownership, ideas and new ways of doing things are encouraged.