At a Glance
- Tasks: Lead the design and delivery of large-scale data migration projects using Azure technologies.
- Company: Amber Labs, a digital transformation partner for regulated industries.
- Benefits: 25 days annual leave, private medical insurance, remote work, and personal training budget.
- Other info: Join a team of experts with excellent career growth opportunities and regular team socials.
- Why this job: Make a real impact in high-stakes programmes while developing your skills in a supportive environment.
- Qualifications: Experience with ETL solutions, Azure PostgreSQL, and strong stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
Clearance
- BPSS or SC Clearance / eligibility to obtain SC Clearance
- About Amber Labs
The digital transformation partner for highly regulated industries.
Our teams deliver digital transformation for organisations operating in complex, highly regulated environments.
From securing national borders to supporting critical defence operations, we deliver secure AI, data, cloud and software solutions across high-stakes programmes.
- What You’ll Be Doing
- We’re looking for an experienced
Lead Data Engineer to lead the design and delivery of a large-scale data migration and transformation programme.
You'll provide technical leadership across data engineering, migration, modelling and reporting activities, ensuring critical business data is successfully transitioned into a modern Azure-based platform.
You'll be responsible for
- Designing and delivering the end-to-end data migration strategy for CRS
- Leading the development and implementation of ETL processes into Azure Postgre SQL
- Establishing and scaling the data migration capability within the new platform environment
- Defining approaches for loading and managing data across staging and production environments
- Ensuring data quality, validation, reconciliation and governance throughout the migration lifecycle
- Supporting the migration and transformation of data feeding over 140 operational reports
- Collaborating with business and technical stakeholders to define reporting requirements and optimise data structures
- Leading data modelling and database design activities to support operational and reporting needs
- Providing technical leadership and oversight across all data engineering and migration workstreams
- Identifying and mitigating risks affecting data products, pipelines and programme delivery timescales
- What We’re Looking For
You will need
- Hands‑on expertise designing and developing ETL solutions into Azure Postgre SQL
- Extensive experience with Azure data platform technologies
- Strong data modelling and database design capabilities
- Experience establishing and governing data migration frameworks and processes
- Proven expertise in data quality, validation, reconciliation and governance
- Experience designing reporting data structures and supporting large‑scale reporting functions
- Strong stakeholder management skills, with the ability to translate business requirements into technical solutions
- Previous experience leading and mentoring engineering teams
- Experience working within large‑scale public sector or enterprise transformation programmes
- BPSS or SC Clearance, or eligibility to obtain SC Clearance
- Key Skills
- ETL to Azure Postgre SQL
- Data migration planning and execution
- Data modelling and database design
- Data quality, validation and reconciliation
- Reporting data structures and optimisation
- What’s In It For You
We believe benefits should be practical: things that genuinely support your day‑to‑day, give you flexibility and help you keep developing.
Here are a few of our perks
- 25 days' annual leave, plus bank holidays
- Private medical insurance with Bupa
- Remote‑first working, with access to our Liverpool Street office
- Personal training budget to support your professional development
- Perkbox membership, with discounts across retail, travel, dining and wellness
- Electric Vehicle Scheme after one year of service
- Regular team socials
- Referral scheme offering up to £3,000 for successful hires
- Your choice of PC or Mac
- How We Work
We’ve worked hard to build a team of people who are experts at what they do.
Because of that, we’ll trust you to get on with your job and give you the space to do it well.
But you'll always have plenty of support around you whenever you need it.
What Happens Next?
Once you've applied, our in‑house Talent team will review your application and, if it looks like there could be a good fit, they'll be in touch.
For most of our roles, there are two interview stages: one focused on your technical expertise and another focused on how you communicate and approach your work.
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Lead Data Engineer employer: Amber Labs
Amber Labs is an exceptional employer that prioritises a people-first culture, fostering collaboration and support among its technical community. With opportunities to work on complex security and technology transformation programmes, employees can influence strategic decisions while developing their careers in a dynamic environment. The hybrid working model allows for flexibility, making it an attractive choice for those seeking meaningful and rewarding employment in the Midlands and North England.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨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 Amber Labs!
✨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 Amber Labs.
✨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 Amber Labs.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Amber Labs, 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
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 Amber Labs, 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 Amber Labs. 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 Amber Labs
✨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 Amber Labs!
✨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.
