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- Tasks: Join us as a Data Engineer to lead exciting data migration projects and ensure data integrity.
- Company: Akkodis is a global leader in engineering and technology, driving innovation for a sustainable future.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a transformative initiative that shapes the future of public sector recruitment.
- Qualifications: Bachelor’s degree in IT, Computer Science, or related field; experience in data migration and ETL tools required.
- Other info: Work with cutting-edge technology and collaborate with diverse teams across the globe.
The predicted salary is between 48000 - 72000 £ 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.
Akkodis is launching a new technical delivery team to drive a UK national 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.
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.
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 languages (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.
Senior Data Engineer employer: Akkodis
Contact Detail:
Akkodis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as MuleSoft, Informatica, and AWS services. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in data migration projects. Engaging in conversations on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences with data migration and ETL processes in detail. Be ready to share specific examples of challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies. Being knowledgeable about current advancements can help you engage in meaningful conversations during interviews and show your passion for the field.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data migration, ETL development, and the specific tools mentioned in the job description, such as MuleSoft or AWS services. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your understanding of Akkodis' mission and how your skills can contribute to their goals. Mention specific projects or experiences that align with the role.
Showcase Your Technical Skills: In your application, provide examples of your proficiency with the required tools and technologies. Include any relevant projects where you successfully executed data migration or developed ETL solutions, emphasising your analytical skills and attention to detail.
Highlight Collaboration Experience: Since the role involves working closely with stakeholders, include examples of past collaborations with business users and IT teams. Emphasise your communication skills and ability to convey technical concepts to non-technical audiences.
How to prepare for a job interview at Akkodis
✨Showcase Your Technical Skills
Make sure to highlight your proficiency with data migration tools like MuleSoft, Informatica, or custom scripting languages such as Python and SQL. Be prepared to discuss specific projects where you've successfully implemented ETL processes and how you ensured data integrity.
✨Understand the Business Context
Familiarise yourself with Akkodis' mission and the importance of data in transforming public sector recruitment. Demonstrating an understanding of how your role as a Data Engineer fits into their broader goals will show that you're not just technically skilled but also aligned with their vision.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding data migration challenges. Prepare examples from your past experience where you identified issues, implemented solutions, and collaborated with stakeholders to ensure successful project outcomes.
✨Communicate Clearly and Effectively
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your effective communication skills and your ability to bridge the gap between different teams.
