Senior Data Engineer: Cloud Pipelines, Data Platforms & AI

IBM; Malmö kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

IBM Consulting in Malmö seeks an experienced Data Engineer to tackle complex technical challenges across public and private sectors. You will design modern data platforms, build robust data pipelines, and collaborate in cross-functional teams to enable analytics, AI, and governance across projects.

You will work with Python, SQL, cloud platforms (Azure/GCP/AWS), and data platforms like Databricks, Redshift, or Snowflake, while applying agile practices and promoting reliability and

Qualifications

• Strong foundation in Python and SQL.
• Experience with at least one cloud platform (Azure, GCP, AWS).
• Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake).
• Experience in agile processes and methods.
• Fluency in Swedish and English in speech and writing.
• The right to work in Sweden without restrictions at the time of application.

Responsibilities

• Designing and implementing modern data platforms.
• Building robust ETL/ELT pipelines and data products.
• Working with cloud-native services and infrastructure.
• Enabling analytics, AI, and machine learning use cases.
• Improving data quality, observability, governance, and reliability.
• Automating workflows and reducing operational overhead.

Skills

Python

SQL

Cloud platforms

ETL/ELT pipelines

Databricks/Redshift/Snowflake

Agile methodologies

Swedish language

English language

Data governance

APIs (REST/GraphQL)

CI/CD / IaC

Spark / PySpark

Machine learning basics

LLMs / VLMs

Tools

Power BI

Looker Studio

Job description

IBM Consulting in Malmö seeks an experienced Data Engineer to tackle complex technical challenges across public and private sectors. You will design modern data platforms, build robust data pipelines, and collaborate in cross-functional teams to enable analytics, AI, and governance across projects.

You will work with Python, SQL, cloud platforms (Azure/GCP/AWS), and data platforms like Databricks, Redshift, or Snowflake, while applying agile practices and promoting reliability and