Data Engineer

Experis - ManpowerGroup; England; Remote; GBP 40,000 - 70,000; Full time

Job summary

A leading global consultancy is seeking a skilled Data Engineer to join their Data Platforms team in the UK. The role focuses on designing scalable data pipelines, ensuring data quality, and collaborating with cross-functional teams. Ideal candidates will possess strong SQL and programming skills, alongside experience with cloud platforms and big data tools.

Benefits

Contributory pension scheme

Employee Assistance Program

Medical and Dental cover

22 days holiday + bank holidays

Maternity Pay/Shared Parental leave and paternity leave

Sick pay

Qualifications

• Proficiency in SQL and at least one programming language (e.g., Python, Scala, Java).
• Experience with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop).
• Strong understanding of data governance and best practices.

Responsibilities

• Design and implement data pipelines and ETL processes.
• Develop and maintain data infrastructure using modern tools.
• Collaborate with teams to understand data requirements.

Skills

SQL

Python

Scala

Java

AWS

Azure

GCP

Spark

Hadoop

Job description

ROLE TITLE: Data Engineer

LOCATION: Remote

CLEARANCE: BPSS

The ideal candidate will have active SC Clearance or be eligible to undergo SC Clearance.

We are actively looking to secure a Data Engineer to join Experis.

Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on assignment across 20 clients globally. Our UK operation is growing and has very aggressive plans for expansion over the coming years. We form part of the Manpower group of companies that turn over $20 billion a year collectively.

Experis UK have partnerships with major clients across the UK spanning multiple industries; our approach is a very personal one, with both our clients and our own employees. We are passionate about training, technology and career development.

Job Purpose/The Role:

• We are seeking a skilled Data Engineer to join our Data Platforms team. The ideal candidate will have experience in designing, building, and maintaining scalable data pipelines and infrastructure. You will work closely with data scientists, analysts, and other engineers to ensure the efficient and reliable flow of data across the organisation. This role requires strong technical expertise, problem-solving skills, and a passion for working with data at scale.
• Your Key Responsibilities:
• Design and implement robust data pipelines and ETL processes.
• Develop and maintain data infrastructure using modern tools and technologies.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all systems.
• Optimise data workflows for performance and scalability.

Required Skills:

• Proficiency in SQL and at least one programming language (e.g., Python, Scala, Java).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data tools (e.g., Spark, Hadoop).
• Familiarity with data warehousing solutions and data modelling.
• Strong understanding of data governance and best practices.

Desirable:

• Experience with real-time data processing and streaming technologies.
• Knowledge of DevOps practices and CI/CD pipelines for data engineering.

Benefits Include:

• Contributory pension scheme
• Employee Assistance Program
• Medical and Dental cover
• 22 days holiday + bank holidays
• Maternity Pay/Shared Parental leave and paternity leave
• Sick pay