Data Engineer

We are looking for a Data Engineer for an exciting consulting assignment within a large, technology-driven organization in the automotive industry in Gothenburg.

You will work in a data-intensive environment where modern cloud and data technologies are used to build scalable data solutions and enable data-driven products and decision-making. The role involves close collaboration with other engineers as well as technical and business stakeholders.

Assignment / Responsibilities

As a Data Engineer, you will contribute to the development, operation and continuous improvement of data solutions and data pipelines.

Depending on the team and area, the assignment may involve:

• Designing, developing and maintaining scalable data pipelines and data solutions

• Working with ETL/ELT processes and data integration

• Processing and transforming large volumes of data

• Developing solutions within cloud-based data platforms

• Contributing to data modelling and data quality

• Supporting reliable and efficient data flows

• Working with CI/CD and Infrastructure as Code

• Collaborating with Data Engineers, Software Engineers and other stakeholders

Relevant Technical Environment

Based on technologies used in comparable Data Engineering environments within the organization, relevant technologies include:

• Python

• SQL

• Microsoft Azure

• Databricks

• Snowflake

• Apache Spark / PySpark

• Airflow

• dbt

• Kafka

• Terraform

• Docker

• Kubernetes

• Git / GitHub Actions

• Power BI

• Grafana

Experience with several of these technologies is highly relevant. The exact technical environment for this assignment will depend on the specific team and needs.

Personal Qualities

We are interested in consultants who are comfortable working in collaborative, technically complex environments. The specific personal requirements for the assignment are yet to be confirmed.