At a Glance
- Tasks: Lead the design and delivery of innovative data engineering solutions for clients.
- Company: Join Enablis, a tech consultancy focused on simplifying digital transformations.
- Benefits: Enjoy competitive salary, hybrid work options, and opportunities for professional growth.
- Other info: Be part of a supportive community that values diversity and career development.
- Why this job: Make a real impact by collaborating with top industry talent on meaningful projects.
- Qualifications: Strong experience in data engineering, cloud platforms, and programming skills required.
The predicted salary is between 60000 - 80000 € per year.
Enablis is a technology delivery consultancy that partners with clients to accelerate digital roadmaps. By combining our deep knowledge and best practice experience with the client’s domain expertise, we deliver technology solutions quickly, efficiently, and as stress-free as possible.
We keep things simple and have a ruthless, uncomplicated focus on how our customers can use technology to add value to their business. We avoid tricky or ambiguous jargon in our service offerings and are always there to collaborate with clients, using our experiences to positively shape the delivery of their technology roadmaps.
We’re looking for passionate, talented tech experts who want to work on projects that matter. At Enablis, you’ll have the chance to collaborate with some of the most talented minds in the industry and create real impact. If you have the skills and ambition, we’ll open the door to incredible opportunities and introduce you to a network of equally driven, like-minded professionals.
The Lead Data Engineer role is responsible for owning the technical direction, design, and delivery of data platforms and data engineering solutions for our clients while providing leadership and guidance to data engineering teams. As a senior member of a cross-functional delivery team, the Lead Data Engineer takes accountability for the end-to-end architecture and implementation of scalable, reliable, and high-quality data solutions. This includes overseeing data pipelines, data warehousing, integration patterns, and analytics enablement, ensuring that data platforms are robust, secure, and aligned to business outcomes.
Acting as both a hands-on engineer and a technical leader, the Lead Data Engineer sets best practices, mentors engineers, and shapes ways of working to ensure consistently high standards of delivery. They work closely with client stakeholders, product managers, analysts, and software engineers to translate business requirements into effective data solutions that support insight, reporting, and decision-making. As a consultant at Enablis, the Lead Data Engineer is fully customer-facing, building trusted relationships and providing clear technical direction. They are also supported by and contribute to Enablis’ engineering communities, helping to evolve shared standards, tooling, and approaches across the organisation.
Key Responsibilities
- Own and lead the technical architecture and delivery of data engineering solutions
- Provide technical leadership and mentoring to Data Engineers within delivery teams
- Design and oversee scalable data pipelines, data platforms, and warehousing solutions
- Act as a hands-on engineer on complex or high-risk components where required
- Define and promote best practices for data quality, performance, security, and governance
- Collaborate closely with clients and stakeholders to shape data strategies and solutions
- Ensure data platforms meet non-functional requirements such as reliability, scalability, and maintainability
- Shape engineering processes, tooling, and ways of working within teams
- Support engineers’ technical development and progression
- Contribute to Enablis technical communities and quality forums
Key Skills
- Strong experience designing and delivering scalable data engineering solutions
- Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow)
- Advanced proficiency in SQL, including optimisation and performance tuning
- Strong experience with ETL / ELT pipelines and data transformation frameworks
- Programming capability in Python, Scala, or Java for data processing
- Deep understanding of data warehousing concepts and best practices
- Experience designing and maintaining reliable, production-grade data pipelines
- Ability to take accountability for technical quality across a data engineering team
- Strong stakeholder management and client-facing communication skills
- Comfortable working in agile environments and shaping effective delivery practices
- Strong analytical and problem-solving skills
- Willing to embrace complexity and uncertainty
- High attention to detail and quality
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.
Lead Data Engineer / Data Tech Lead in Leeds employer: Enablis
Enablis is an exceptional employer that fosters a collaborative and innovative work culture, where passionate tech experts can thrive. Located in Leeds with a hybrid working model, we offer our employees the opportunity to work on impactful projects while benefiting from continuous professional development and mentorship. Join us to be part of a supportive community that values simplicity, clarity, and excellence in technology delivery.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer / Data Tech Lead in Leeds
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate tech experts like you who want to make an impact!
We think you need these skills to ace Lead Data Engineer / Data Tech Lead in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Data Engineer role. Highlight your expertise in cloud-based platforms and data engineering solutions, as we want to see how you can add value to our team.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background makes you a great fit for Enablis. Be genuine and let your personality shine through; we love to see enthusiasm!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's designing data pipelines or implementing data warehousing solutions, we want to know how you've tackled challenges and delivered results.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Enablis
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your knowledge of cloud platforms like AWS, Azure, or GCP, and be ready to discuss how you've designed and delivered scalable data solutions in the past.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to mentor and guide teams. Prepare examples of how you've led projects or supported junior engineers, and be ready to discuss your approach to fostering collaboration and best practices.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Be ready to tackle questions about SQL optimisation, ETL/ELT processes, and data pipeline design. Practise explaining complex concepts in simple terms, as this aligns with Enablis' straightforward communication style.
✨Engage with Stakeholders
Since the role is customer-facing, think about how you can build trust with clients. Prepare to share experiences where you’ve successfully collaborated with stakeholders to shape data strategies. Highlight your communication skills and how you translate business needs into effective data solutions.
