Data Engineer

Dufrain
Manchester, UK
1 day ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Microsoft Azure Continuous Integration Data as a Services Information Engineering Data Governance Extract Transform Load (ETL) Data Migration Data Systems Data Warehousing Python (Programming Language)
+16 more
Microsoft SQL Server Standard Sql SQL Server Integration Services Data Streaming Azure Data Factory Snowflake Apache Spark Git Microsoft Fabric Data Lakes Data Management Azure Synapse Analytics Stream Analytics Data Pipelines Databricks Microservices

Job description

  • Develop good working relationships with clients on a project including interpersonal skills with both business and technical focused colleagues.
  • Experience working as a data engineer to develop performant end-to-end solutions in a collaborative team environment.
  • Delivering high-quality pieces of work, proven ability to elevate problems to client / senior team members where necessary and propose possible solutions.
  • Support building the Consulting practice through contribution to ongoing initiatives. This can include contributing to knowledge-sharing activities, and data services.

Requirements

  • Strong experience designing and delivering data solutions on Azure
  • Excellent working knowledge of Python, Apache Spark, and SQL
  • Broad data engineering skillset; with preference in either Microsoft Fabric, Databricks or Snowflake
  • Proven delivery of multiple solutions using Data Governance, Data Migration, Data Modeling, ETL/ELT, Data Lakes, Data Warehousing, Master Data Management and BI
  • Solid understanding of engineering delivery processes: Agile & DevOps, Git, APIs, containers, microservices, and data pipelines, * Experience with one or more of Databricks, Snowflake, Azure Data Factory, Azure Synapse, or Microsoft SQL/SSIS
  • Hands-on experience building data pipeline(s) using Azure Data Factory, Pipelines, Notebooks, and Dataflows Gen2
  • Good working knowledge of Lakehouse components: Delta Lake, Unity Catalog/One Lake, ML Flow, Databricks Asset Bundles, Fabric CICD, Real Time Analytics/Structured Streaming, etc

Desirable Certifications

  • Microsoft DP-600 or DP-700

You Will Have

  • The drive to meet tight deadlines and maintain high standards of delivery
  • Confidence participating effectively in meetings with senior stakeholders
  • A collaborative mindset-supporting, encouraging, and sharing knowledge across the team
  • Self-starter habits; you work well under pressure with limited supervision
  • A track record of accurate output and ownership of elements of project delivery
  • Flexibility to work as part of an integrated team or independently as needed
  • Awareness of relevant industry standards, regulations, and current developments

You can expect guaranteed investment to your personal development. We have a working culture that rewards high performance and nurtures talent, while providing exciting opportunities and challenges to generate positive change for our clients.

Applicants must have the right to work in the UK and not require sponsorship now or in the future. Visa sponsorship is not available.

About the company

Dufrain is a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services which includes developing strategies for AI readiness, improving data literacy and culture, enhancing real-time reporting, and managing data from mergers and acquisitions.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all