Senior Data Engineer - Azure Databricks Data Platform

Apotek Hjärtat; Solna kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Apotek Hjärtat is building a new data platform on Azure and Databricks. As a Data Engineer, you will design and build scalable data pipelines that ingest data from databases, APIs, and streaming sources, turning them into data products for analysts and decision-makers.

You will collaborate with BI, Data Analysts, developers, engineers and architects in an agile setup, contribute to a semantic data model, and help shape an enterprise-scale data foundation across the organization.

Qualifications

• Experience in building and optimizing data pipelines and data lakes/warehouses in a cloud environment (Azure, GCP or AWS). Preferably Azure and Databricks.
• Proficiency in Python and SQL.
• Experience with Infrastructure as Code (IaC) tools like Terraform is a merit.

Responsibilities

• Design and build scalable data pipelines that reliably bring in data from databases, APIs, streaming platforms like Kafka, and other external sources and turning them as Data products.
• Develop shared integration patterns that make it simpler and faster to onboard new data domains, reducing friction for the teams that depend on good data.
• Co-create our gold layer and semantic model with Data Analysts and Architects — securing a consumption ready data for analysts and decision-makers.
• Be part of the solutions in a truly agile setup on Databricks and Azure — you build it, you run it, you improve it.

Skills

Python

SQL

Databricks

Terraform

Swedish language

Tools

Azure

Kafka

Databricks

Job description

Apotek Hjärtat is building a new data platform on Azure and Databricks. As a Data Engineer, you will design and build scalable data pipelines that ingest data from databases, APIs, and streaming sources, turning them into data products for analysts and decision-makers.

You will collaborate with BI, Data Analysts, developers, engineers and architects in an agile setup, contribute to a semantic data model, and help shape an enterprise-scale data foundation across the organization.