Job Description

At

Dufrain

, we don't just build data solutions--we shape the future of data-driven decision-making. Do you thrive on solving complex challenges and turning data into powerful insights that drive transformation?


We're looking for

Data Engineers

who havea broad range of data engineering skills, with a focus on

Microsoft Databricks.

Experience with

Microsoft Fabric

or

Snowflake

is also highly desirable.

ABOUT THE ROLE

As a Data Engineer, you will play a key role in delivering high-quality data solutions for our clients. This role offers the opportunity to work across a variety of technologies and contribute to the growth of our Consulting practice.

ROLE RESPONSIBILITIES

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 escalate 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.

ESSENTIAL TECHNICAL SKILLS REQUIRED

We are looking for a technically skilled data professional with a strong foundation in modern data platforms and engineering practices. Key technical competencies include:

Databricks Platform Expertise

: Proven experience designing and delivering data solutions using Databricks on Azure or AWS.

Databricks Components

: Proficient in Delta Lake, Unity Catalog, MLflow, and other core Databricks tools.

Programming & Query Languages

: Strong skills in SQL and Apache Spark (Scala or Python).

Relational Databases

: Experience with on-premises and cloud-based SQL databases.

Data Engineering Techniques

: Skilled in Data Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data Management, and Business Intelligence.

Engineering Delivery Practices

: Solid understanding of Agile, DevOps, Git, APIs, Containers, Microservices, and Data Pipelines.

Modern Data Tools

: Experience with Kafka, Snowflake, Azure Data Factory, Azure Synapse, or Microsoft Fabric (highly desirable).

Data Architecture Frameworks

: Knowledge of Inmon, Kimball, and Data Vault methodologies.

Nice to have certifications

Databricks Certified Data Engineer Associate Databricks Certified Data Engineer Professional

ABOUT YOU

You're not just a data expert--you're a problem solver, a collaborator, and a forward-thinker. You will be someone who:

Brings energy, focus, and a drive to meet ambitious deadlines. Delivers insightful, practical solutions that go beyond the obvious. Communicates confidently with senior stakeholders and contributes meaningfully to strategic conversations. Thrives in a team environment, sharing knowledge and supporting others. Works independently with initiative and resilience under pressure. Takes ownership of deliverables and consistently produces high-quality output. Adapts easily to working solo or as part of a dynamic, integrated team. Stays ahead of industry trends, standards, and regulatory developments.


If you're passionate about data, and you're looking to join a leading data and analytics company based in the UK, you could find your dream role at Dufrain.


Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to work in the UK and not require sponsorship now or in the future.

Visa sponsorship is not available

.

We are an equal opportunity employer and value diversity at our company.. We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, age, or any other status protected by law. All qualified applicants will receive consideration for employment without regard to these factors. We encourage applications from individuals of all backgrounds and experiences.