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- 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: Experience with Databricks, SQL, and data engineering practices is essential; certifications are a plus.
- Other info: We value diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 43200 - 72000 £ per year.
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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.
- Delivering high-quality work, with the ability to escalate problems to clients or senior team members 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.
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 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. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or any other protected status. All qualified applicants will receive consideration without regard to these factors. We encourage applications from individuals of all backgrounds and experiences.
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Data Engineer - Databricks employer: Dufrain
Contact Detail:
Dufrain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Databricks
✨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 employees or professionals in the data engineering field, especially those who work with Databricks. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and technologies in data engineering, particularly around Azure and AWS. Showing that you are proactive about learning can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've collaborated in team environments and contributed to knowledge-sharing initiatives. Highlighting your interpersonal skills and teamwork can resonate well with the company's culture.
We think you need these skills to ace Data Engineer - Databricks
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 Azure or AWS. Mention any certifications you have that are relevant to data engineering.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also demonstrates your passion for data and problem-solving. Mention how you can contribute to Dufrain's goals and values.
Highlight Soft Skills: In addition to technical expertise, emphasise your interpersonal skills and ability to work collaboratively. Provide examples of how you've successfully communicated with stakeholders or worked in a team environment.
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 used Databricks, focusing on how you designed and delivered data solutions using its components like Delta Lake and MLflow.
✨Demonstrate Problem-Solving Skills
Dufrain values problem solvers, so come ready with examples of complex challenges you've faced in previous roles. Explain how you approached these problems, the solutions you implemented, and the impact they had on your team or project.
✨Communicate Effectively with Stakeholders
Since the role involves working closely with clients and senior stakeholders, practice articulating your thoughts clearly. Prepare to discuss how you've successfully communicated technical concepts to non-technical audiences in the past.
✨Emphasise Team Collaboration
Dufrain looks for candidates who thrive in a team environment. Share experiences where you collaborated with others, contributed to knowledge-sharing activities, or supported team initiatives, showcasing your ability to work well with both technical and business colleagues.
