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- Tasks: Lead the design and delivery of innovative data engineering solutions.
- Company: Dynamic consultancy in Leeds with a focus on collaboration and growth.
- Benefits: Competitive salary, healthcare, and continuous professional development opportunities.
- Other info: Join a supportive community with mentorship and diverse project exposure.
- Why this job: Make a real impact while staying hands-on with cutting-edge data technologies.
- Qualifications: Experience in cloud-based data engineering and strong SQL skills required.
The predicted salary is between 80000 - 100000 £ per year.
Location: Leeds - Hybrid
Salary: £80,000 to £100,000
Why Apply? Step into a senior, high-impact data engineering role where you'll shape technical strategy without stepping away from the tools. As a Lead Data Engineer, you'll be hands on across architecture and build, driving delivery on complex client projects and stepping in where needed to solve the hardest problems. This isn't a pure oversight role, it's for someone who still enjoys getting into the detail and making things work.
Responsibilities:
- Own and lead the technical architecture and delivery of scalable data engineering solutions.
- Provide technical leadership, mentorship, and guidance to Data Engineers within delivery teams.
- Design and manage robust data pipelines, data platforms, and warehousing solutions.
- Take a hands on approach on complex or high risk engineering components.
- Define and promote best practices for data quality, performance, governance, and security.
- Collaborate with clients, product managers, analysts, and software engineers to translate business needs into data solutions.
- Ensure data platforms meet non-functional requirements such as reliability, scalability, and maintainability.
- Shape engineering processes, tooling, and ways of working across teams.
- Support engineers' technical development and progression.
- Contribute to the consultancy's technical communities and quality forums.
Requirements:
- Proven experience designing and delivering scalable cloud based data engineering solutions.
- Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow).
- Advanced SQL skills, including optimisation and performance tuning.
- Strong experience with ETL/ELT pipelines and data transformation frameworks.
- Programming proficiency in Python, Scala, or Java for data processing.
- Deep understanding of data warehousing concepts and best practices.
- Experience maintaining reliable, production-grade data pipelines.
- Excellent stakeholder management and client-facing communication skills.
- Agile delivery experience and ability to shape team practices.
- Analytical mindset with high attention to detail and quality.
What's in it for me?
- Competitive salary and benefits package including healthcare.
- Opportunities for continuous professional development and technical growth.
- Exposure to diverse projects across industries, building both technical and consulting expertise.
- Mentorship and leadership opportunities within a collaborative engineering community.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Data Tech Lead employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Tech Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a role that fits your skills.
✨Tip Number 2
Get involved in relevant online communities and forums. Share your knowledge, ask questions, and engage with others in the industry. This not only helps you learn but also puts you on the radar of potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to data engineering. Brush up on your SQL, cloud platforms, and data pipeline concepts. The more confident you are, the better you'll perform!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your hands-on experience and leadership skills in data engineering.
We think you need these skills to ace Data Tech Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Tech Lead role. Highlight your hands-on experience with data engineering solutions and any leadership roles you've had. We want to see how you can shape technical strategy while still getting into the nitty-gritty!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Don’t forget to mention specific projects where you’ve made an impact, as we love seeing real-world examples.
Showcase Your Technical Skills: Be sure to highlight your expertise in cloud platforms like Azure, AWS, or GCP, along with your SQL and programming skills. We’re looking for someone who can dive deep into data pipelines and architecture, so make those skills pop in your application!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Fruition Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure, AWS, and GCP. Brush up on your SQL skills and be ready to discuss how you've optimised data pipelines in the past.
✨Showcase Your Hands-On Experience
This role is all about getting into the nitty-gritty of data engineering. Be prepared to share specific examples of complex projects you've worked on, especially where you’ve taken a hands-on approach to solve tough problems.
✨Demonstrate Leadership Skills
As a Lead Data Engineer, you’ll need to mentor others. Think of times when you’ve guided a team or improved processes. Highlight your ability to shape engineering practices and support your colleagues’ development.
✨Communicate Clearly with Stakeholders
Strong communication is key in this role. Practice explaining technical concepts in simple terms, as you’ll need to collaborate with clients and non-technical team members. Show that you can bridge the gap between tech and business needs.