TL;DR
Senior Data Engineer (Databricks): Driving the design and implementation of robust, high-performance data solutions with an accent on Databricks for industrialised pipelines and data science model feeds. Focus on shaping scalable, innovative data solutions and mentoring junior engineers.
Location: Remote UK or office based (there is an opportunity to work remotely or be office based depending on your preference)
Salary: £50k - £64k plus benefits
Company
hirify.global Resourcing is proud to be partnered with an innovative leading retailer that’s transforming how data powers decision-making.
What you will 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.
Requirements
- 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.
Nice to have
- Degree in IT or related business discipline.
Culture & Benefits
- Work at the forefront of data innovation in a dynamic retail environment, shaping solutions that deliver real business impact.
- Autonomy to drive technical excellence.
- Opportunity for developing others in a supportive and high-performing team.
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