Data Engineer

Ampstek; Göteborgs kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Ampstek, Göteborg-based, seeks a Senior Data Engineer to design, build, and own scalable data products that enable data-driven product development.

The role requires 8+ years of hands-on experience with SQL, Python/Scala/Java, and cloud platforms (Azure, AWS or GCP), plus ETL/ELT pipelines.

You will ensure data governance and quality, collaborate with product, engineering and analytics teams, and mentor colleagues.

Qualifications

• End-to-end ownership of data products.
• Design, build scalable data pipelines.
• Ensure data quality, governance and reliability.
• Collaborate with product, engineering and analytics teams.
• Evolve data architecture for scalability and performance.
• Promote testing, monitoring, and CI/CD practices.
• Mentor team members and plan data products with stakeholders.

Responsibilities

• Design, build, and own scalable data products.
• Architect and implement reliable data pipelines.
• Ensure data quality, reliability, and governance.
• Collaborate with product, engineering and analytics teams.
• Evolve data architecture for scalability and performance.
• Promote testing, monitoring, and CI/CD practices.
• Mentor team members and plan data products with stakeholders.

Skills

SQL

Python

Scala

Java

Cloud platforms

ETL Pipelines

Data governance

Data quality

CI/CD

Mentoring

Tools

Databricks

Spark

Airflow

dbt

Job description

We are searching Senior Data Engineer to design, build, and own scalable data

products that enable data-driven product development across the organization.

8+ years of experience as a Data Engineer with end-to-end ownership of data

products.

Strong proficiency in SQL and at least one programming language such as

Python, Scala, or Java.

Hands-on experience with cloud platforms such as Azure, AWS, or GCP.

Experience building and maintaining scalable ETL/ELT pipelines and data

Strong understanding of data governance, data quality, and production data best

practices.

Mandatory Skills-

Design, build, and own scalable data products across the organization.

Architect and implement efficient, reliable, and maintainable data pipelines from

Ensure data quality, reliability, and governance across data products and

Collaborate with product, engineering, and analytics teams to understand data

requirements and deliver effective solutions.

Evolve data architecture to support scalability, performance, and changing

business needs.

Drive data engineering with best practices, including testing, monitoring,

documentation, and CI/CD.

Identify opportunities to modernize and automate data infrastructure to improve

Work with stakeholders to plan data products and mentor team members.

Nice to have-

organizations.

Familiarity with Databricks, Spark, Airflow, or dbt.

Experience with streaming technologies such as Kafka.

• Exposure to MLOps and data science or analytics use cases.