At a Glance
- Tasks: Lead the design and implementation of high-performance data solutions using Databricks.
- Company: Innovative retailer transforming data-driven decision-making.
- Benefits: Competitive salary, remote work options, and professional development opportunities.
- Other info: Dynamic environment with autonomy and excellent career growth potential.
- Why this job: Make a real impact in data innovation while mentoring talented engineers.
- Qualifications: 4 years experience in Databricks, Python, SQL, and cloud data architecture.
The predicted salary is between 52000 - 64000 £ per year.
Location: Remote UK or office based (opportunity to work remotely or be office based depending on your preference)
Salary: £52k - £64k plus benefits
Type: Full-Time
ARCA Resourcing is proud to be partnered with an innovative leading retailer that’s transforming how data powers decision-making. We’re seeking a Senior Data Engineer to take a technical leadership role within their modern Enterprise Data Platform. If you thrive in shaping scalable, innovative data solutions and mentoring talented engineers, this is your opportunity to make a real impact.
About the Role
As a Senior Data Engineer, you will drive the design and implementation of robust, high-performance data solutions. You will work hands on with Databricks to deliver industrialised pipelines and data science model feeds. You will also mentor junior engineers, champion best practices, and ensure technical excellence across all deliveries.
What You’ll Do
- Lead the technical delivery of data initiatives in a collaborative squad environment.
- Translate functional designs into scalable, reusable technical solutions.
- Build and test high-performance ELT pipelines in Databricks.
- Mentor junior engineers and promote engineering best practices.
- Ensure high quality, reliable, and well-documented deliverables through peer reviews.
- Optionally support on-call platform duties as needed.
What We’re Looking For
- 4 years expertise in Databricks, Spark, and cloud data architecture.
- Coding skills in Python and SQL.
- Experience with orchestration tools like Azure Data Factory and Databricks Workflows.
- Knowledge of lakehouse architectures, modern data engineering, and data warehousing principles.
- Understanding of data modelling, ELT/ETL pipelines, and testing frameworks.
- Familiarity with CI/CD, version control, and DevOps practices.
- Strong problem-solving, debugging, and technical leadership skills.
- Awareness of security, governance, and cost optimisation practices.
Desirable: Degree in IT or related business discipline.
Why Join
This is your chance to work at the forefront of data innovation in a dynamic retail environment, shaping solutions that deliver real business impact. You’ll have the autonomy to drive technical excellence, while also developing others in a supportive and high-performing team.
Senior Data Engineer - Databricks employer: ARCA Resourcing Ltd
Join a forward-thinking retailer that prioritises innovation and data-driven decision-making, offering a flexible work environment with the option to work remotely or from the office. As a Senior Data Engineer, you'll not only lead technical initiatives but also have the opportunity to mentor junior engineers in a collaborative culture that values professional growth and excellence. With competitive salaries and a commitment to employee development, this is an ideal place for those looking to make a meaningful impact in the data landscape.
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We think this is how you could land Senior Data Engineer - Databricks
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We think you need these skills to ace Senior Data Engineer - Databricks
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
