Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer - Databricks

Dufrain
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

AtDufrain, 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 forData Engineerswho havea broad range of data engineering skills, with a focus onMicrosoft Databricks.Experience withMicrosoft FabricorSnowflakeis 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.

Department Consulting Locations London, Edinburgh, Manchester Remote status Hybrid
#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.