Data Engineer
1 month ago
About the Role
In this position, you will be working on building industry-defining data products, influencing data architecture, and designing processes and solutions.
Our Data Engineering team is diverse, consisting of 18 colleagues from different backgrounds and nationalities distributed across 3 locations. We work in functional teams, developing data foundations for various domains, with a common craftsmanship and commitment to knowledge sharing and best practices.
Responsibilities
- Develop ELT processes, including data-heavy ingestion, storage, and processing.
- Work with data engineers, scientists, product owners, and business analysts to develop data products supporting analytics and ML use cases.
- Contribute to the continuous evolution of our craftsmanship, including architecture, standards, knowledge sharing, and documentation.
- Support key stakeholders with data needs and solve data-related issues.
About You
As a strong-willed individual, you will collaborate with people with broad business expertise, gathering requirements from stakeholders. You should have a background in a data-related field or software engineering with an emphasis on data movement.
Requirements
- You are skilled in performing complex operations and processing large datasets in SQL.
- You can write clean and readable Python code.
- You have experience in developing data-intensive applications in cloud platforms, preferably AWS (S3, Redshift, RDS) and/or Snowflake.
- You are familiar with Airflow and DBT (data build tool) including testing/data quality.
About DFDS
We are a transport and logistics company with a commitment to transforming our business into a greener and more digitized operation. We are proud of our role as part of the critical infrastructure serving customers and communities across Europe and further afield.
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