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.
