Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Data Engineer, solving complex data challenges and delivering impactful solutions.
- Company: Dufrain is a leading data and analytics company shaping the future of data-driven decision-making.
- Benefits: Enjoy a collaborative work environment, opportunities for knowledge-sharing, and a focus on personal growth.
- Why this job: Be part of a dynamic team that values innovation and offers a chance to work with cutting-edge technologies.
- Qualifications: Strong skills in Databricks, SQL, Apache Spark, and modern data engineering practices are essential.
- Other info: We value diversity and encourage applicants from all backgrounds; visa sponsorship is not available.
The predicted salary is between 36000 - 60000 £ per year.
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 have a 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 colleagues.
- Experience working as a data engineer to develop performant end-to-end solutions in a collaborative team environment.
- Deliver high-quality work, escalate problems to clients or senior team members when necessary, and propose solutions.
- Support building the Consulting practice through contribution to ongoing initiatives, including 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 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, collaborator, and 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 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 looking to join a leading data and analytics company based in the UK, we invite you to apply at Dufrain.
Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to work in the UK; visa sponsorship is not available.
We are an equal opportunity employer and value diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or other protected statuses. All qualified applicants will receive consideration without regard to these factors. We encourage applications from individuals of all backgrounds and experiences.
#J-18808-Ljbffr
Data Engineer - Databricks Consulting · · employer: Dufrain
Contact Detail:
Dufrain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Databricks Consulting · ·
✨Tip Number 1
Familiarise yourself with the Databricks platform and its components, such as Delta Lake and MLflow. Being able to discuss specific projects or experiences where you've used these tools will demonstrate your expertise during interviews.
✨Tip Number 2
Network with current or former employees of Dufrain on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your application.
✨Tip Number 3
Stay updated on the latest trends in data engineering and technologies like Snowflake and Microsoft Fabric. Being knowledgeable about industry advancements will help you stand out as a candidate who is proactive and passionate about the field.
✨Tip Number 4
Prepare to showcase your problem-solving skills by thinking of examples where you've successfully tackled complex data challenges. This will be crucial in demonstrating your fit for the role and your ability to contribute to Dufrain's consulting practice.
We think you need these skills to ace Data Engineer - Databricks Consulting · ·
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and other relevant technologies mentioned in the job description. Use specific examples of projects where you've successfully implemented data solutions.
Showcase Technical Skills: Clearly outline your technical skills, especially in SQL, Apache Spark, and any experience with modern data tools like Kafka or Snowflake. Mention any certifications you hold, particularly those related to Databricks.
Demonstrate Problem-Solving Abilities: In your application, provide examples of how you've tackled complex data challenges in previous roles. Highlight your ability to deliver practical solutions and your experience working collaboratively in a team environment.
Express Your Passion for Data: Convey your enthusiasm for data-driven decision-making and your commitment to staying ahead of industry trends. This can be included in your cover letter or personal statement to show your alignment with the company's mission.
How to prepare for a job interview at Dufrain
✨Showcase Your Databricks Expertise
Make sure to highlight your experience with the Databricks platform during the interview. Be prepared to discuss specific projects where you've used Databricks, focusing on components like Delta Lake and MLflow, as this will demonstrate your technical proficiency.
✨Demonstrate Problem-Solving Skills
Since the role requires turning complex data challenges into actionable insights, be ready to share examples of how you've approached problem-solving in past projects. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Emphasise Collaboration and Communication
This position involves working closely with both technical and business teams. Prepare to discuss how you've built relationships with clients and colleagues in previous roles, showcasing your interpersonal skills and ability to communicate effectively.
✨Stay Updated on Industry Trends
Being knowledgeable about the latest trends in data engineering and technologies is crucial. Research current developments in data platforms, especially around Microsoft Fabric and Snowflake, and be ready to discuss how these could impact the role and the company.
