At a Glance
- Tasks: Lead the migration of a data warehouse to a modern AWS lakehouse architecture.
- Company: Dynamic tech company in Manchester or Warrington with a hybrid work model.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Hands-on leadership role with a focus on innovation and best practices.
- Why this job: Shape the future of data engineering and make impactful architectural decisions.
- Qualifications: Proven experience in Data Engineering and strong AWS skills required.
The predicted salary is between 63000 - 77000 £ per year.
Lead Data Engineer | £95,000 - £105,000 | Manchester or Warrington (Hybrid)
We're looking for a Lead Data Engineer to take ownership of the technical direction and continued development of a growing data platform.
A major part of the role will be leading the technical delivery of a large-scale data warehouse migration, moving an existing on-premise SQL Server environment towards a modern AWS-based lakehouse architecture.
You'll play a key role in shaping the platform's architecture, establishing engineering standards and driving improvements across data processing, streaming and overall platform performance.
This is a genuinely hands‑on technical leadership position.
You'll have the autonomy to make architectural decisions, challenge existing approaches and guide the wider engineering team, while remaining close to the code and day‑to‑day technical delivery.
- What You’ll Be Doing
- Leading the technical delivery of a major data warehouse migration from on-premise SQL Server to an AWS-based lakehouse.
- Defining the architecture, engineering standards and design patterns for the wider data platform.
- Designing and developing scalable batch and real‑time data processing solutions.
- Building and improving data pipelines, ensuring they are reliable, efficient and maintainable.
- Developing real‑time streaming capabilities to significantly reduce data processing and reporting latency.
- Establishing best practices around data modelling, data quality, validation and platform observability.
- Taking ownership of infrastructure‑as‑code and CI/CD standards across the platform.
- What We’re Looking For
- Significant experience in Data Engineering, with a proven track record of leading large‑scale data platform or data warehouse migrations.
- Deep, hands‑on experience with AWS data services, particularly Glue, Lambda, S3, Redshift and EMR.
- Advanced Python, Py Spark and SQL skills.
- Proven experience building and operating real‑time streaming architectures using Apache Kafka or Amazon MSK.
- Strong understanding of data warehousing, data modelling and modern lakehouse architecture.
- Experience with open table formats such as Apache Iceberg or Delta Lake.
- Experience with infrastructure‑as‑code, ideally Terraform, alongside CI/CD and pipeline orchestration.
Lead Data Engineer in Manchester employer: MRJ Recruitment
As a leading player in the logistics sector, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. Our commitment to professional development ensures that you will have ample opportunities for growth while working on innovative projects like our core systems modernisation programme. Located in a vibrant area, we offer a collaborative environment where your contributions directly impact our journey towards a future-ready operating model.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Manchester
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MRJ Recruitment.
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We think you need these skills to ace Lead Data Engineer in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MRJ Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MRJ Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MRJ Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MRJ Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
