Data Engineer

Cypher Consulting Europe; Stockholms kommun; On-site; Confidential; Full time

Job summary

Cypher Consulting Europe seeks a skilled Data Engineer for a 1-year consulting assignment in Sweden. The role requires hands-on Python expertise and deep Azure experience to deliver robust data solutions.

You will build data pipelines, integrate systems, and implement ETL/ELT processes within the Azure ecosystem, collaborating with cross-functional teams and taking ownership to meet tight timelines. This position is ideal for professionals who can work independently in Sweden and deliver

Qualifications

• Strong proficiency in Python and hands-on experience with Azure.
• Solid understanding of data engineering concepts including ETL/ELT, orchestration, data lakes, and streaming/real-time processing.
• Experience with APIs, integration patterns, and cloud-native data services.
• Background in large-scale enterprise or industrial environments is a plus.
• Ability to work independently, take ownership, and deliver results under tight timelines.

Responsibilities

• Develop, maintain, and optimize data pipelines, integrations, and APIs.
• Work within the Azure cloud environment using related services.
• Implement and support ETL/ELT workflows and data lake architectures.
• Collaborate with cross-functional teams to define requirements and deliver scalable solutions.
• Troubleshoot data-related issues in a fast-paced environment.

Skills

Python

Azure

Data engineering concepts

ETL/ELT

APIs

Data pipelines

Streaming/real-time

Cloud-native data services

Tools

Azure Data Factory

Databricks

Functions

Storage

Job description

We are seeking a skilled Data Engineer to join our team on a 1-year consulting assignment based in Sweden. The ideal candidate is a hands‑on technical expert with strong Python skills, deep experience in the Azure ecosystem, and the ability to deliver high-quality solutions with minimal onboarding.

Tasks

Key Responsibilities

• Develop, maintain, and optimize data pipelines, integrations, and APIs.
• Work within the Azure cloud environment, leveraging services such as Azure Data Factory, Databricks, Functions, Storage, and related tools.
• Implement and support ETL/ELT workflows, data lake architectures, and real-time or near real-time data processes.
• Collaborate with cross-functional teams to define requirements and deliver pragmatic, scalable solutions.
• Troubleshoot and resolve data-related issues in a fast-paced environment.

Requirements

Required Skills & Experience

• Strong proficiency in Python and hands‑on experience working in Azure.
• Solid understanding of data engineering concepts, including ETL/ELT, orchestration, data lakes, and streaming/real-time processing.
• Experience with APIs, integration patterns, and cloud-native data services.
• Background working with large-scale enterprise or industrial environments is a plus.
• Ability to work independently, take ownership, and deliver results under tight timelines.