At a Glance
- Tasks: Lead the development of a modern, scalable data platform and manage a team of Data Engineers.
- Company: Established organisation with a focus on innovation and data-driven solutions.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Influential role with scope to introduce modern technologies and improve processes.
- Why this job: Shape the future of data and AI while making a real impact in the organisation.
- Qualifications: Experience in building complete data platforms and leading technical teams.
An established organisation is looking for a hands-on Lead Data Engineer to take ownership of its existing data estate and lead the development of a modern, scalable data platform. This is an excellent opportunity to build a platform supporting Business Intelligence, Data Science and Applied AI. You’ll introduce modern batch and real-time data-processing capabilities, automate inefficient processes and make trusted data more accessible across the organisation. Alongside remaining technically hands-on, you’ll manage and develop a small team of Data Engineers.
Key responsibilities
- Own the reliability, security and ongoing development of the data platform.
- Modernise the existing SQL Server, SSIS/SSDT and Power BI environment.
- Develop scalable batch and real-time data-processing solutions.
- Lead the design of a Customer Data Platform.
- Build and evolve a lakehouse architecture using AWS technologies.
- Create governed semantic models, consistent metrics and clear data definitions.
- Enable secure, self-service data analysis using modern AI tooling.
- Automate manual, repetitive or fragile data processes.
- Support BI, Data Science, Machine Learning and Applied AI teams.
- Take ownership of data governance, security, monitoring and platform costs.
- Line-manage, develop and help grow the Data Engineering team.
- Work closely with technical, operational and senior business stakeholders.
Skills and experience
We’re looking for an experienced Data Engineer who has built and operated complete data platforms rather than solely delivering individual components. You’ll need experience across:
- Batch data processing, ELT and orchestration.
- Modern streaming technologies such as Flink or comparable platforms.
- AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS.
- Infrastructure as code using Terraform.
- CI/CD and automated testing.
- Lakehouse architecture and open table formats such as Iceberg.
- Medallion architecture and dimensional data modelling.
- Strong SQL and Python.
- SQL Server, SSIS/SSDT and Power BI.
- Semantic layers, common metrics and data glossaries.
- Data governance, lineage, retention, classification and auditability.
- Managing and developing a small technical team.
You should also be comfortable using advanced AI coding assistants, such as Claude Code or equivalent tools, to improve engineering productivity while maintaining high standards of quality, governance and security.
Desirable experience
- Regulated environment.
- PySpark for large-scale data transformations.
- Migrating legacy data estates to lakehouse or metadata-driven architectures.
- Customer Data Platforms or event-driven systems.
- Data-quality tools such as dbt tests or Great Expectations.
- MCP servers or governed natural-language data interfaces.
- Financial crime, fraud or regulatory-reporting data.
- Power BI administration and semantic modelling.
The opportunity
This is a genuinely influential role where you’ll own the data platform end to end and help shape how data and AI are used across the organisation. You’ll have the scope to introduce modern technologies, remove unnecessary manual work and build a platform capable of supporting future products, analytics and business decision-making.
Salary: Circa £85K
Location: Manchester
Working pattern: Hybrid
Lead Data Engineer - AWS / AI / SQL in Manchester employer: Adria Solutions Ltd
Join a dynamic team in Manchester where your skills as a 1st/2nd Line IT Support Engineer will be valued and nurtured. With a strong focus on career progression and comprehensive training in both cloud and on-premise technologies, you'll find ample opportunities to grow within a supportive work culture that prioritises employee development. Enjoy the benefits of working in a collaborative environment while providing essential support to end-users and enhancing your technical expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - AWS / AI / SQL in Manchester
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We think you need these skills to ace Lead Data Engineer - AWS / AI / SQL 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!
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Craft a Tailored Cover Letter:For a full-time role at Adria Solutions Ltd, 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 Adria Solutions Ltd. 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 Adria Solutions Ltd
✨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!
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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 Adria Solutions Ltd!
✨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.
