Senior Data Platform Engineer

Job Location:

Manchester - UK

Monthly Salary: Not Disclosed

Posted on: 22 days ago

Vacancies: 1 Vacancy

Job Summary

Manchester Cheltenham or London

We are seeking a skilled Data Engineer to join our Engineering team responsible for designing building and optimising scalable data pipelines that power advanced analytics and machine learning solutions. You will play a key role in enabling data-driven decision-making by delivering high-quality reliable datasets to tools such as Amazon SageMaker and other analytics platforms.

Key Responsibilities

We are looking for a Data Engineer to work closely with the Data Science team to develop robust data pipelines that feed analytics and machine learning tools such as Amazon SageMaker and third-party platforms like Databricks. You will leverage AWS technologies such as EMR S3 EKS and Airflow to process and orchestrate high-volume datasets ensuring solutions are scalable resilient and cost-efficient. You will also play a key role in embedding data loss prevention (DLP) principles and controls into data pipelines to protect sensitive information while ensuring data is reliable accessible well-governed and optimised for downstream consumption.

Skills Knowledge & Expertise

Essential

Strong experience in data engineering within AWS cloud environments.
Hands-on experience with AWS big data technologies such as EMR S3 and SageMaker.
Proficiency in Python for building scalable data pipelines and processing frameworks. Experience with Apache Spark for distributed data processing.
Experience designing and maintaining scalable batch and real-time data pipelines.
Solid understanding of ETL/ELT design patterns and data modelling techniques.
Experience with workflow orchestration tools such as Apache Airflow (ideally deployed on AWS).
Familiarity with containerisation and orchestration using Docker and Kubernetes (EKS).
Experience with infrastructure as code (e.g. Terraform) and CI/CD/GitOps practices.
Proven ability to optimise performance and reduce cloud costs through partitioning clustering and workload management.
Understanding of data security principles including data loss prevention (DLP).

Desirable

Experience with Databricks or similar third-party big data platforms.
Knowledge of real-time streaming technologies (e.g. Kafka Kinesis).
Experience implementing data governance and compliance frameworks.
Familiarity with monitoring and observability tools in AWS environments.
Exposure to Lakehouse or modern data platform architectures.

Job Benefits

Flexible Working: Balance your work and personal life with our flexible working options.
Generous Holiday Allowance: Enjoy 25 days of holiday plus bank holidays with the option to buy up to 5 additional days of annual leave.
Medicash & Critical Illness Scheme
Financial & Investment Benefits: Enjoy peace of mind with our Pension Life Assurance and Share Save Scheme.
Community & Volunteering Programmes: Make a difference in your community with our volunteering opportunities.
Green Car Scheme: Drive green and save money with our eco-friendly car scheme.
Cycle Scheme: Stay fit and healthy with our cycle-to-work scheme.
Special Time Off: Take time off for those big moments in life like getting married/entering into a civil partnership becoming a grandparent and welcoming home a new pet.
Family Planning: Benefit from our generous maternity and paternity leave as well as time off and support for those undergoing fertility treatments.

Required Experience:

Senior IC

Manchester Cheltenham or LondonWe are seeking a skilled Data Engineer to join our Engineering team responsible for designing building and optimising scalable data pipelines that power advanced analytics and machine learning solutions. You will play a key role in enabling data-driven decision-making ...