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- Tasks: Lead the design and development of advanced data solutions using cutting-edge technologies.
- Company: Join a leading Microsoft partner focused on modernising data platforms.
- Benefits: Enjoy a competitive salary, fully remote work, and performance bonuses.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
- Why this job: Make a real impact by guiding data engineering initiatives and mentoring future talent.
- Qualifications: Extensive experience with Azure data services and strong SQL skills required.
The predicted salary is between 70000 - 90000 ÂŁ per year.
We are seeking a Lead Data Engineer to join a leading Microsoft partner specialising in modernising data platforms and delivering cuttingâedge analytics solutions for organisations across the UK. In this senior position, you will take ownership of designing and delivering advanced data solutions, guiding technical strategy and providing leadership across complex client engagements. You will work closely with stakeholders to understand their business challenges and architect scalable, efficient data platforms that enable selfâservice analytics and longâterm growth. This is a handsâon technical role with the added responsibility of mentoring engineers, influencing best practice and contributing to the direction of data engineering capability within the business.
Responsibilities
- Lead the design and development of endâtoâend data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric
- Architect, implement and oversee highâperforming data lakes, data warehouses and ETL/ELT processes
- Develop scalable, robust data models for enterpriseâlevel reporting within Power BI
- Serve as a technical authority, advising clients on bestâfit data solutions tailored to their needs
- Mentor junior and midâlevel data engineers, supporting their technical growth
- Contribute to architectural decisions and data engineering standards across projects
Skills and Experience
- Extensive handsâon experience with Azure data services such as Synapse, Data Factory, Databricks or Fabric
- Strong SQL skills with experience building optimised, complex queries
- Proficiency in Python and/or PySpark for data transformation and automation
- Strong experience with Power BI and modern data modelling techniques
- Demonstrable experience leading data engineering initiatives or projects
- Excellent communication and stakeholderâfacing skills
What's on Offer
- Competitive salary
- Fully remote working from anywhere in the UK
- Performanceârelated bonus scheme
- Pension scheme and private healthcare options
This is just a brief overview of the role. For the full details, simply apply with your CV and we'll be in touch to discuss it further.
Lead Data Engineer in Bradford employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Lead Data Engineer in Bradford
â¨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure services. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Synapse or Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
â¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with data pipelines and ETL processes. Practising common interview questions can help you feel more confident when itâs your turn to shine.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, weâre always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Lead Data Engineer in Bradford
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your hands-on experience with Azure data services and any leadership roles you've had. We want to see how you fit into our vision!
Showcase Your Projects: Include specific examples of data engineering projects you've led or contributed to. This helps us understand your technical capabilities and how you approach problem-solving. Don't be shy about your achievements!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share your thoughts on modern data platforms and analytics solutions, as we love seeing your enthusiasm for the field!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you get the attention you deserve. Let's get started on this journey together!
How to prepare for a job interview at Nigel Frank
â¨Know Your Tech Inside Out
Make sure youâre well-versed in Azure data services like Synapse, Data Factory, and Databricks. Brush up on your SQL skills and be ready to discuss how you've used Python or PySpark in past projects. The more specific examples you can provide, the better!
â¨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to mentor others and lead projects. Prepare examples of how you've guided teams or influenced best practices in previous roles. This will show that youâre not just technically skilled but also a great leader.
â¨Understand Stakeholder Needs
Be ready to discuss how youâve worked with stakeholders to understand their business challenges. Think of instances where youâve tailored data solutions to meet specific needs. This shows you can bridge the gap between technical and non-technical teams.
â¨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.