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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, remote work options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping next-gen digital infrastructure and empowering the public sector.
- Qualifications: Experience in data migration, ETL development, and proficiency in AWS or 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.
Ingegnere dei dati (f/m) in Stevenage employer: Akkodis
Contact Detail:
Akkodis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m) in Stevenage
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Akkodis. You never know who might have the inside scoop on job openings!
✨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 your technical knowledge. Be ready to discuss AWS ETL technologies and your experience with data integrity standards. Practice common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Akkodis team!
We think you need these skills to ace Ingegnere dei dati (f/m) in Stevenage
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data migration, ETL processes, and any relevant tools like AWS or Azure. We want to see how your skills match what we're looking for!
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 mission at Akkodis. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and problem-solving skills in action.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Akkodis
✨Know Your Data Tools
Make sure you’re well-versed in the AWS and Azure ETL technologies mentioned in the job description. Brush up on tools like Glue, Data Factory, and any scripting languages you’ve used. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Understand the Migration Process
Familiarise yourself with data migration strategies and best practices. Be prepared to discuss how you’ve planned and executed data migration projects in the past, including any challenges you faced and how you overcame them. This will demonstrate your practical knowledge and problem-solving skills.
✨Showcase Your Analytical Skills
Since strong analytical skills are crucial for this role, think of examples where you assessed data quality or resolved data-related issues. Prepare to explain your thought process and the steps you took to ensure accuracy and integrity during migrations.
✨Align with Company Values
Research Akkodis and their mission to drive digital transformation and innovation. Be ready to discuss how your values align with theirs and how you can contribute to their goal of building a scalable, data-driven recruitment ecosystem. This shows you’re not just looking for a job, but a place where you can make a real impact.
