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- Tasks: Join a team to build a scalable, data-driven recruitment ecosystem and manage data migration projects.
- Company: Akkodis, a global leader in engineering and technology, part of the Adecco Group.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping next-gen digital infrastructure with cutting-edge technologies.
- Qualifications: Experience in data migration, ETL development, and proficiency in AWS and Azure tools.
- Other info: Dynamic environment with diverse roles and excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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.
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. As part of this mission, the Data Engineer role focuses on the planning, execution, and management of data migration projects. Data Engineers 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.
- 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.
Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in IAM, KMS, and RBAC implementation. Strong analytical skills to assess data quality, identify inconsistencies, and troubleshoot data migration issues. Understanding of database management systems (SQL Server, Oracle, MySQL and NoSQL) 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. Cloud certifications like AWS and Azure are preferred. 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. Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field.
Senior Engineer, Data Engineering in Stevenage employer: Akkodis
Contact Detail:
Akkodis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in Stevenage
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data migration projects and ETL processes. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges, especially around data integrity and migration strategies.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Engineer, Data Engineering in Stevenage
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Engineer, Data Engineering role. Highlight your experience with data migration, ETL processes, and any relevant cloud technologies like AWS or Azure. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention specific projects or experiences that showcase your expertise in data migration.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Mention your proficiency with tools like Glue, Data Factory, or any scripting languages you've used. We love seeing candidates who are hands-on with the tech we use!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Akkodis
✨Know Your Data Tools
Make sure you brush up on your knowledge of AWS ETL technologies and Azure data engineering tools. Be ready to discuss how you've used these tools in past projects, especially in relation to data migration and ETL processes.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related issues in previous roles. Highlight your analytical skills and how you've ensured data quality and integrity during migrations. This will demonstrate your ability to troubleshoot effectively.
✨Understand the Business Needs
Familiarise yourself with the business requirements for data migration. Be prepared to discuss how you would align data migration strategies with organisational goals and regulatory standards, showing that you can think beyond just the technical aspects.
✨Communicate Clearly with Stakeholders
Practice explaining complex data concepts in simple terms. You'll need to work closely with various teams, so being able to communicate effectively with both technical and non-technical stakeholders is crucial for success in this role.
