Senior Data Engineer

ZipRecruiter; Stevenage; On-site; GBP 40,000 - 80,000; Full time

Job description

Job Description

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets.

Scope:

Akkodis is launching a new technical delivery team to drive a UK program in collaboration with key partners, designed to transform and future-proof the central government’s workforce. By leveraging cutting-edge technology, strategic partnerships, and a comprehensive SaaS-based platform, this program will create an advanced, candidate-centric experience tailored to meet tomorrow’s public sector skill demands.

This high-impact initiative offers a unique opportunity to join a team dedicated to building a scalable, data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span across architecture, project management, data analytics, development, and technical support, giving you the chance to shape a dynamic, next-gen digital infrastructure.

You’ll be integral to our mission of crafting a seamless, powerful platform that empowers the public sector with the talent to navigate an evolving digital landscape.

Role:

As part of this mission, the Data Engineer role focuses on the planning, execution, and management of data migration projects. Data Engineer are responsible for transferring data from legacy systems to new platforms, ensuring accuracy, consistency, and adherence to data integrity standards.

Analyse existing data structures and understand business requirements for data migration.

Design and implement robust data migration strategies.

Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes.

Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations.

Responsibilities:

• Plan, coordinate, and execute data migration projects within set timelines.
• Design and build ETL solutions, ensuring data quality and integrity throughout the migration process.
• Troubleshoot and resolve data-related issues promptly to minimise disruption.
• Collaborate with various teams to align migration processes with organisational goals and regulatory standards.

Required Skills:

• Proficiency with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting (Python, SQL) for data extraction and transformation.
• Strong analytical skills to assess data quality, identify inconsistencies, and troubleshoot data migration issues.
• Understanding of database management systems (SQL Server, Oracle, MySQL) and SQL query optimisation.
• Ability to plan and execute data migration projects, manage timelines, and coordinate with stakeholders.
• Precision in handling large volumes of data and ensuring accuracy during migration processes.
• Effective communication skills to convey technical concepts and updates to diverse audiences, including non-technical stakeholders.
• Experience with AWS cloud services for data migration, storage, and processing, including tools like AWS Glue, S3, Redshift, and RDS.

Required Experience:

• Proven experience in data migration, data management, or ETL development.
• Experience working with ETL tools and database management systems.
• Familiarity with data integrity and compliance standards relevant to data migration.
• Hands-on experience with AWS services related to data migration and cloud-based data management.

Required education

Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field.