At a Glance
- Tasks: Lead and deliver innovative data engineering solutions using cutting-edge Microsoft technologies.
- Company: Leading data consultancy with a focus on modern, cloud-based data platforms.
- Benefits: Competitive salary, career development, and a collaborative culture.
- Other info: Opportunity for continuous learning and exposure to enterprise-scale programmes.
- Why this job: Shape strategy and influence technical direction in a high-impact environment.
- Qualifications: Strong data engineering background and experience leading teams.
The predicted salary is between 80000 - 100000 £ per year.
Location: UK-wide
The Opportunity
We're working with a leading data consultancy who specialise in delivering modern, cloud-based data platforms across a broad range of industries. They partner closely with clients to design and deliver scalable, high-quality data solutions using cutting-edge Microsoft technologies. This is an ideal role for a seasoned consultant who enjoys a blend of strategy, leadership, and hands-on engineering.
The Role
- Lead end-to-end delivery of complex data engineering solutions
- Design and implement modern data platforms, pipelines, data lakes, and warehouses
- Drive pre-sales activities, including solution design, estimations and proposals
- Act as a technical SME across Microsoft data technologies
- Mentor and develop high-performing engineering teams
- Work closely with senior stakeholders to translate business requirements into scalable solutions
- Lead workshops, client presentations and technical demonstrations
- Ensure best practices across governance, security and data engineering standards
What We're Looking For
Essential experience:
- Strong background in data engineering within a consulting or client-facing environment
- Proven experience leading teams and delivering complex programmes
- Hands-on expertise with Spark, SQL and cloud data platforms
- Experience designing and building data pipelines, warehouses and lakes
- Strong understanding of ETL, data modelling and cloud architectures
- Excellent stakeholder management and communication skills
What's on Offer
- Exposure to high-impact, enterprise-scale data programmes
- Strong emphasis on career development and continuous learning
- Opportunity to shape strategy and influence technical direction
- Collaborative, high-performance culture with a focus on innovation
- Competitive salary and benefits package
Job Summary: 80,000 to 100,000 GBP
Consultant Role
Skills: MS Fabric, Databricks, Azure, Python
Level: Senior
Data Engineering Manager in Edinburgh employer: Nigel Frank International
As a leading technology consultancy based in Buckinghamshire, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and wellbeing. Our hybrid working model, competitive salary, and generous benefits package, including private healthcare and professional development funding, make us an excellent employer for those looking to make a meaningful impact in project management. Join us to collaborate with diverse teams and clients while advancing your career in a supportive environment focused on continuous improvement.
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We think this is how you could land Data Engineering Manager in Edinburgh
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We think you need these skills to ace Data Engineering Manager in Edinburgh
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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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
