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 annual performance bonus.

• Premium health insurance.

• Up to 25 days paid annual leave

• 1 work-from-home day per week.

• Opportunity to grow within a dynamic international company.

• A collaborative, fun, and forward-thinking work culture.

If you're ready to bring your energy, curiosity, and attention to detail into a fast-moving, player-first environment – we'd love to meet you.