At a Glance
- Tasks: Lead the design and delivery of innovative data engineering solutions for clients.
- Company: Join Enablis, a forward-thinking tech consultancy focused on impactful 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 fosters career development.
- Why this job: Make a real impact by collaborating with top industry talent on exciting projects.
- Qualifications: Strong experience in data engineering, cloud platforms, and programming skills required.
The predicted salary is between 70000 - 90000 £ 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’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.
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 employer: Enablis
Contact Detail:
Enablis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer / Data Tech Lead
✨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 showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨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 seeing passionate candidates who are eager to join our team!
We think you need these skills to ace Lead Data Engineer / Data Tech Lead
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data engineering shine through! We want to see that you’re not just skilled, but also genuinely excited about the projects you’ll be working on with us.
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with cloud-based platforms and data pipelines, and don’t forget to mention any leadership roles you've had. We love seeing how your skills align with what we do!
Be Clear and Concise: Avoid jargon and keep your language straightforward. We appreciate clarity in communication, so make sure your application reflects that. It’s all about showing us how you can communicate effectively with clients and stakeholders.
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 you’re keen to join our team at Enablis!
How to prepare for a job interview at Enablis
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data engineering trends and technologies, especially those mentioned in the job description like AWS, Azure, or GCP. Brush up on your SQL skills and be ready to discuss how you've optimised data pipelines in past projects.
✨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 in their development. Highlight your experience in shaping best practices and fostering collaboration.
✨Prepare for Client-Facing Scenarios
Since this role involves working closely with clients, think about times when you've successfully managed stakeholder relationships. Be ready to discuss how you’ve translated business requirements into effective data solutions and how you handle challenging conversations.
✨Embrace Problem-Solving Questions
Expect technical questions that test your analytical and problem-solving skills. Practice explaining your thought process clearly and concisely. Use real-world examples to illustrate how you've tackled complex data challenges in the past.