Job Description

I'm partnered with a PLC organisation based in North Yorkshire who are seeking a Data Engineer who will be responsible for delivering, maintaining and supporting their cloud data platform. This will consist of implementing data pipelines (batch, micro-batch and streaming), a data lakehouse and supporting data consumption workloads including data visualisation and future artificial intelligence initiatives.

The Data Engineer will be a key member of the Group Data Team working closely with technical/non-technical colleagues to deliver data solutions to drive value and help achieve strategic outcomes. You will work collaboratively with stakeholders to aid in decision making and be a trusted, respected & knowledgeable 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 optimised 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 modelled 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 suit 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.
If this role is of interest please apply direct with an updated CV for consideration.

Job Type: Permanent

Pay: 50,000.00-55,000.00 per year

Benefits:

Additional leave Company pension Flexitime On-site parking Private medical insurance Work from home
Work Location: Hybrid remote in Harrogate HG1 3JZ