At a Glance
- Tasks: Lead a team in shaping the future of data engineering and architecture.
- Company: Dynamic company investing heavily in cloud and data capabilities.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Join a collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact on data solutions and influence technology choices.
- Qualifications: Experience as a Lead Data Engineer with strong AWS and data processing skills.
The predicted salary is between 72000 - 88000 £ per year.
Lead Data Engineer - Manchester (Hybrid)
The Role
We're looking for a Lead Data Engineer to help shape the future of a growing data platform and lead the next phase of its evolution.
This is a role for someone who enjoys balancing hands-on engineering with technical leadership.
You'll remain close to the technology, but you'll also take ownership of data architecture, engineering standards, technical direction, and the development of other engineers within the team.
Working closely with engineering leadership, analytics teams, and business stakeholders, you'll help define how data is built, consumed, and governed across the organisation.
The Opportunity
The team is investing heavily in its data capabilities and modernising its data estate within AWS.
Existing initiatives include the migration of a large-scale data warehouse into AWS and the adoption of modern lakehouse architecture, real-time data processing, and advanced analytics capabilities.
As Lead Data Engineer, you'll be responsible for ensuring the platform scales effectively, engineering standards remain high, and solutions are designed with long-term maintainability in mind.
This is an opportunity to influence technology choices, mentor engineers, improve ways of working, and establish best practices across the wider data function.
- What You'll Be Doing
- Providing technical leadership across the Data Engineering team.
- Defining engineering standards, patterns, and best practices for data development.
- Designing and overseeing scalable data pipelines and ETL/ELT solutions within AWS.
- Leading architectural decisions across data warehousing and modern lakehouse platforms.
- Supporting and mentoring Data Engineers, helping to develop capability across the team.
- Driving improvements in reliability, performance, observability, and data quality.
- Working closely with Data Scientists, Analysts, and Engineering teams to deliver high-value data solutions.
- Contributing to long-term platform strategy and roadmap planning.
- Supporting the continued migration and optimisation of cloud-based data platforms.
- Promoting modern engineering practices including automation, CI/CD, monitoring, and infrastructure as code.
What You Bring
- Significant experience as a Senior or Lead Data Engineer within high-volume, data-intensive environments.
- Extensive AWS experience including services such as Glue, Lambda, S3, Redshift, and wider cloud-native data tooling.
- Strong knowledge of Apache Spark and large-scale data processing.
- Experience working with streaming technologies such as Kafka.
- Expert SQL and data modelling capabilities.
- Experience designing modern data warehousing and lakehouse architectures.
- Proven ability to mentor engineers and provide technical leadership.
- Strong communication skills with the ability to influence both technical and non-technical stakeholders.
Why Apply?
This role offers the chance to help define the future of Data Engineering within a business that is heavily investing in cloud, analytics, and platform modernisation.
You'll have the autonomy to influence technical direction, develop engineering capability, and work on large-scale data challenges that have genuine business impact.
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Lead Data Engineer in Manchester employer: Lorien
Join a forward-thinking company in Manchester that values technical expertise and offers a dynamic work culture. With a focus on hybrid working, flexible hours, and a strong emphasis on employee growth, this role provides the opportunity to lead impactful projects while maintaining a hands-on engineering position. Enjoy a competitive salary, annual bonus, and the chance to shape the future of corporate infrastructure services in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lorien!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Engineer at Lorien.
✨Leverage Professional Networks
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 Lorien.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Lorien, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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 Lorien, 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 Lorien. 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 Lorien
✨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 Lorien!
✨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.
