Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the modernization of data pipelines and ensure high QA standards.
- Company: Join a dynamic team working with a Government department on impactful projects.
- Benefits: Enjoy hybrid working and a competitive pay of £800 a day.
- Why this job: Be at the forefront of data engineering, shaping best practices and leading an Agile team.
- Qualifications: Expertise in Python, SQL, jinja, and experience with AWS and CI/CD workflows required.
- Other info: This is a 3-month contract role with active SC clearance needed.
The predicted salary is between 57600 - 86400 £ per year.
Social network you want to login/join with: Are you an experienced Lead Data Engineer looking for an exciting opportunity in Central Government? Our client is seeking a talented professional to join their team in London. As the Lead Data Engineer, you will play a crucial role in the modernisation and stabilisation of the legal aid data landscape. In this role, you will be responsible for overseeing and enabling the migration of legal aid data to our client\’s Analytical Platform. Collaborating closely with Analytics Engineering colleagues, you will support the development of a flexible data model that ensures seamless data access for analysis. Your expertise in python, SQL, and jinja will be vital in designing and developing efficient data pipelines. To succeed in this position, you should have experience leading and enabling a team of data engineers, ensuring best practises are followed. Strong engagement skills are also essential as you will be interacting with business stakeholders and cross-functional teams to maintain productive relationships. Required Skills: Excellent python, SQL, and jinja skills Experience with AWS or other cloud platforms Proficiency in orchestration tools, such as airflow Strong leadership abilities, guiding a team of data engineers Familiarity with CI/CD workflows, preferably with GitHub Actions Up-to-date knowledge of latest developments in data engineering Experience in designing and developing data pipelines Excellent stakeholder engagement and relationship management skills Working knowledge of dbt and implementing best practises Desired Skills: Experience with infrastructure as code, particularly Terraform Apply now and join our client\’s organisation on a 6-month contract as their Lead Data Engineer. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. To speak to a recruitment expert please contact Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Check our Blog for more information. Bank or payment details should not be provided when applying for a job. Eurojobs.com is not responsible for any external website content. All applications should be made via the \’Apply now\’ button. Created on 25/06/2025 by TN United Kingdom #J-18808-Ljbffr
Lead Data Engineer employer: Adecco
Contact Detail:
Adecco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Make sure to showcase your experience with cloud platforms, especially AWS. Highlight any specific projects where you implemented data pipelines or orchestration tools like Airflow, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Since the role emphasizes collaboration, be prepared to discuss examples of how you've worked in Agile teams. Share instances where you guided others in applying best practices in data engineering, as this aligns with the leadership aspect of the position.
✨Tip Number 3
Familiarize yourself with dbt and its best practices, as well as automated testing frameworks like pytest. Being able to speak knowledgeably about these tools during discussions will set you apart from other candidates.
✨Tip Number 4
Given the importance of version control in this role, ensure you're comfortable discussing your experience with git and CI/CD workflows, particularly with GitHub Actions. This technical proficiency is crucial for maintaining high QA standards in data pipelines.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Jinja. Include specific examples of data pipelines you've built and any relevant cloud platform experience, especially with AWS.
Craft a Strong Cover Letter: In your cover letter, emphasize your collaborative skills and experience in leading Agile teams. Discuss how you can contribute to modernizing the data pipeline and ensuring high QA standards.
Showcase Relevant Projects: If you have experience with tools like dbt, Airflow, or GitHub Actions, be sure to mention specific projects where you applied these technologies. This will demonstrate your hands-on expertise.
Highlight Your Clearance: Since active SC clearance is required for this role, make sure to clearly state your clearance status in your application. This will help you stand out as a qualified candidate.
How to prepare for a job interview at Adecco
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and Jinja in detail. Highlight specific projects where you implemented these technologies, especially in the context of building or modernizing data pipelines.
✨Demonstrate Your Understanding of Data Engineering Best Practices
Discuss your familiarity with dbt and how you've applied best practices in your previous roles. Be ready to explain your approach to data modeling and how you ensure high QA standards in your work.
✨Highlight Your Experience with Cloud Platforms
Since experience with AWS is crucial for this role, prepare examples of how you've utilized cloud platforms in your past projects. Discuss any orchestration tools like Airflow that you've used in conjunction with cloud services.
✨Prepare for Questions on Team Collaboration and Leadership
As a Lead Data Engineer, you'll need to guide others and work within an Agile team. Be ready to share experiences where you've led initiatives, mentored colleagues, or contributed to team success through collaboration.
