Reporting to the Head of Data and Analytics, the Data Engineer will be responsible for delivering, maintaining, and supporting Vp's cloud data platform. This includes implementing data pipelines (batch, micro-batch, and streaming), managing a data lakehouse, and supporting data consumption workloads such as data visualization and future AI initiatives.
The Data Engineer will be a key member of the Group Data Team, working closely with technical and business colleagues to deliver data solutions that drive value and help Vp achieve its strategic outcomes. They will collaborate with stakeholders to aid decision-making and serve as a trusted point of contact between the Group Data Analytics team, Infrastructure, and Development teams.
Key Responsibilities
- Develop low-level design documentation based on architecture artefacts.
- Collaborate with cloud infrastructure and development teams for optimized delivery.
- Work within a Software Development Lifecycle (SDLC) to maintain quality and control.
- Partner with data analysts and system owners to define and document data transformation rules and data extraction processes, including interface contracts for each ingested data source.
- Support data modelling efforts, including capturing and maintaining transformation rules.
- Implement ETL/ELT batch and micro-batch pipelines using AWS Glue; integrate data quality assessment via AWS Glue Data Quality Services and AWS Databrew.
- Build streaming pipelines using AWS Kinesis Data Streams, Firehose, and Kafka (MSK).
- Maintain metadata and enforce quality standards using AWS Glue Data Catalog.
- Define and administer the data platform using AWS LakeFormation.
- Use Snowflake to develop modeled data sources and products for end users.
What We're Looking For
- Experience delivering ETL/ELT pipelines with tools like AWS Glue.
- Proficiency in SQL and Python.
- Strong knowledge of cloud-based data architectures, including data lakes, lakehouses, and warehouses.
- Familiarity with AWS services such as S3, DynamoDB, Aurora, RDS, Glue, Athena, and EMR.
- Understanding of data lakehouse storage formats (e.g., Parquet, Delta, Iceberg).
- Experience with Snowflake and modern data platform practices.
- Knowledge of data modelling methods (Inmon and Kimball).
- Strong communication skills and the ability to adapt style to different audiences.
- Ability to produce high-quality documentation (e.g., low-level designs, runbooks).
- Desirable: experience with streaming technologies (Kinesis, Firehose, Kafka, Flink); working knowledge of infrastructure as code (CloudFormation, Terraform); AWS Certified Data Engineer; degree in a relevant field.
What We Can Offer You
- Salary sacrifice pension
- 25 days holiday FTE, plus bank holidays
- Additional holiday purchase scheme
- Private Health Insurance (employee and partner)
- Free Tool Hire
- Life Assurance cover 3x salary
- Employee Assistance Programme
- Virtual GP Service
- Will Writing & Funeral Concierge Service
- Share save scheme
- Eye care vouchers
- Recommend a friend scheme
- Learning & Development - structured in-house and external training
- Cycle to work scheme
- Long service recognition
- My Vp discounts on brands
- Discounts on HP products
- EE mobile contract discounts
- Gym discounts
- Health Shield health care plan
- Regit Assist accident helpline
A Little Bit About Us
Established in 1954, Vp plc has evolved into a group specializing in equipment rental across multiple divisions, serving industries such as construction, civil engineering, rail, water, oil and gas, outdoor events, and housebuilding.
We are committed to diversity and equal opportunities, making employment decisions based on experience and skills.
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