Data Engineer
Role details
Job location
Tech stack
Job description
a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.
About the Role
Akkodis is establishing a pioneering IT & Digital Centre of Excellence (CoE), designed to drive transformative technology programmes across the UK. This dynamic new team will play a key role in delivering large-scale digital, cloud, software, and infrastructure projects, supporting both public and private sector clients. By leveraging cutting-edge technology, strategic partnerships, and innovative SaaS-based solutions, the CoE will enhance digital capabilities, future-proof workforces, and enable data-driven decision-making. Joining our CoE presents a unique opportunity to be at the forefront of major national initiatives, working within a high-impact, collaborative environment. Our diverse roles span architecture, project management, data analytics, software development, and technical support-empowering professionals to shape scalable, next-generation digital ecosystems. Whether delivering sophisticated Big Data platforms, cloud solutions, or advanced infrastructure, our teams will drive innovation and digital excellence across multiple programmes.
Responsibilities
- 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.
- Plan, coordinate, and execute data migration projects within set timelines.
- Design and build ETL solutions, ensuring data quality and integrity throughout the migration process.
- Expertise on Data migrations on to cloud.
- Troubleshoot and resolve data-related issues promptly to minimise disruption.
- Collaborate with various teams to align migration processes with organisational goals and regulatory standards.
Requirements
- Expert-level SQL skills for complex query development, performance tuning, indexing strategies, and data transformation to enable accurate and efficient migration from on-premises databases (SQL Server, Oracle, MySQL, NoSQL) to AWS cloud.
- Strong knowledge of data extraction, transformation, and loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages (Python, PySpark, SQL).
- Understanding of data warehousing and data modelling techniques (Star Schema, Snowflake Schema).
- Familiarity with security frameworks (GDPR, HIPAA, ISO 27001, NIST, SOX, PII) and AWS security features (IAM, KMS, RBAC).
- Strong analytical skills to assess data quality, identify inconsistencies, and resolve migration issues.
- Ability to manage end-to-end migration projects, ensuring accuracy, meeting timelines, and collaborating with technical and non-technical stakeholders., * Proven experience in data engineering, 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.
Preferred Skills
- Bachelor's degree in information technology, Computer Science, Data Science, or a related field.
