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- Tasks: Join us as a Senior Data Engineer, focusing on data migration projects and ensuring data integrity.
- Company: Akkodis is a global leader in engineering and technology, driving digital transformation for a sustainable future.
- Benefits: Enjoy flexible working options, corporate perks, and the chance to work with cutting-edge technology.
- Why this job: Be part of a high-impact initiative that shapes the future of public sector recruitment through innovative data solutions.
- Qualifications: Bachelor’s degree in IT, Computer Science, or related field; experience in data migration and ETL development required.
- Other info: Work within a diverse team dedicated to building a scalable, data-driven recruitment ecosystem.
The predicted salary is between 43200 - 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.
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. This high-impact initiative offers a unique opportunity to join a team dedicated to building a scalable, data-driven recruitment ecosystem.
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.
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.
- 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.
- 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.
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 interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in data migration projects. Engaging in discussions on platforms like LinkedIn can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to discuss your previous data migration experiences in detail. Be ready to explain the challenges you faced, how you overcame them, and the impact of your work on the projects you were involved in.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies. Being knowledgeable about emerging tools and practices will demonstrate your commitment to continuous learning and innovation, which is highly valued in this role.
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: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills and experiences align with Akkodis' mission of transforming the public sector's workforce through data-driven solutions.
Showcase Your Technical Skills: Provide specific examples of past projects where you successfully executed data migration or developed ETL processes. Highlight your proficiency with the required tools and your ability to troubleshoot data-related issues.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
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 had to troubleshoot data-related issues or design robust migration strategies under tight deadlines.
✨Communicate Clearly with Non-Technical Stakeholders
Since effective communication is key, practice explaining complex technical concepts in simple terms. Be ready to demonstrate how you would convey updates and collaborate with diverse teams, ensuring everyone is on the same page during migration projects.
