Lead Data Engineer
FBI &TMT
Kingston upon Thames, UK
8 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on www.totaljobs.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£65,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Data Architecture
Information Engineering
Data Infrastructure
Extract Transform Load (ETL)
Database Queries
Distributed Computing Environment
Python (Programming Language)
Operational Databases
Azure Data Lake
+14 more
Data Streaming
Azure Service Bus
Cloud Platform System
Azure Data Factory
Apache Spark
Cloudformation
Data Lakes
Information Technology
Bicep
Apache Kafka
Machine Learning Operations
Video Streaming
Terraform
Databricks
Job description
- Lead the design, development and optimisation of a Databricks based data platform, ensuring reliability, performance and scalability
- Design enterprise scale data architectures on Databricks and cloud platforms such as Azure, AWS or GCP
- Define lakehouse standards, data modelling approaches and governance frameworks
- Lead design of batch and streaming platforms using Delta Lake, Spark and related technologies
- Establish security, access control, data quality and compliance standards
- Optimise performance, scalability and cloud cost management
- Lead and mentor a small team of data engineers, setting technical standards and reviewing code
- Partner with data science, analytics and product teams to ensure the platform supports their work
- Own data quality, governance and observability across pipelines
- Support AI and ML enablement including feature stores and model deployment patterns
- Translate business requirements into technical solutions
- Contribute to platform roadmap, tooling selection and continuous improvement
Requirements
- Strong experience as a senior or lead data engineer building and scaling production data platforms
- Deep hands on expertise in Databricks including Spark, Delta Lake and Databricks Workflows
- Python and SQL proficiency
- Infrastructure as code experience using Terraform, Bicep or CloudFormation
- Cloud data platform experience, ideally Azure including Azure Data Factory, ADLS Gen2 and Azure DevOps
- Strong understanding of data modelling, ETL and ELT patterns, distributed processing
- Experience with security, governance and data platform operations
- Experience leading or mentoring engineers, with strong stakeholder management
- Rigorous approach to data quality and testing
- Databricks certification
Desirable
- Unity Catalog, MLflow and Databricks Asset Bundles
- dbt or similar transformation frameworks
- Retail or CPG data such as POS, inventory, supply chain
- Streaming technologies such as Kafka or Event Hubs
Education
- Degree in computer science, data engineering or related field, or equivalent practical experience
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.totaljobs.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
EM
Eli McGarvie
about 3 years ago
EM
Eli McGarvie
Data Analyst Salary in the UK
about 3 years ago
CH
Chris Heilmann
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
almost 2 years ago
DS
Dhannush Subramani
Top Big Data Technologies That You Need to Know
about 4 years ago
EM
Eli McGarvie
Software Engineer Salary London
about 3 years ago
EM
Eli McGarvie
Highest Paying Tech Companies for Developers
over 3 years ago