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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.

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.
  
  

• 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.
  
  

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

• 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

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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