At a Glance
- Tasks: Lead data engineering projects and support clients in their digital transformation journeys.
- Company: Join an employee-owned consultancy with a focus on innovation and collaboration.
- Benefits: Flexible leave, performance bonuses, continuous training, and a vibrant social calendar.
- Other info: Embrace diversity and inclusion while enjoying hybrid working options.
- Why this job: Make a real impact by leveraging data to drive better decision-making for clients.
- Qualifications: Experience in leading teams, proficiency in Python and SQL, and a passion for mentoring.
The predicted salary is between 60000 - 80000 £ per year.
We are looking to recruit a Lead Data Engineer to play a vital role in supporting the digital transformation journeys of our clients.
We’re looking for someone with experience guiding others, and supporting clients to use data for better decision making.
We have some exciting plans for our Data capability, and we’re looking for someone who shares our enthusiasm for growing the cap, including supporting our Data Engineering Academy.
We work across a broad range of sectors and domains, spanning both public and private, though healthcare currently makes up a significant part of our client portfolio, so relevant experience in this area is a real advantage.
As a consultancy, the stack you work with will vary from client to client, so we value strong foundations, along with the adaptability to work without deep specialism in any one tool.
You should also bring an enthusiasm for leveraging new AI technologies, both to enhance your own workflow and improve the outcomes we deliver for clients.
What you’ll be doing
Day to day, you'll be designing and implementing cloud‑based data solutions, with a focus on scalability and security.
You'll apply advanced scripting skills to automate data processes and integrate ETL workflows, and use business intelligence tools and techniques to turn that work into actionable insights for clients.
You'll also implement and oversee CI/CD pipelines to keep deployment of data services efficient and reliable.
Alongside the client‑facing work, you'll cultivate strong stakeholder relationships to help ensure successful, high‑quality delivery.
Within the Data capability itself, you'll take a visible leadership role, whether that’s supporting colleagues, contributing to non-client initiatives, or representing the capability in wider planning discussions.
- What you’ll bring to Answer
- Experience leading or guiding others, and supporting clients to use data for better decision making.
- Proficiency in Python, SQL and other relevant backend languages.
- Experience mentoring junior data engineers, promoting knowledge sharing and professional growth.
- Enthusiasm for developing junior talent and helping grow the capability.
- It would be great if you also had experience in
- Understanding the role of a consultancy and sharing an interest in helping solve our clients’ problems.
- Data engineering related Azure or AWS certifications.
- Advocating and applying best practices in software design patterns, principles, and architecture patterns.
- Staying abreast of the latest trends in data engineering.
- Healthcare data standards (SNOMED, FHIR, HL7), or a wider interest in healthcare data projects.
- Participating in the organisation and delivery of Data Engineering Academies.
- Business development activities such as contributing to bids and proposals.
- The perks of being @ Answer
We’re an Employee‑Owned Company.
After 12 months – through the Employee Ownership Trust you will be part of the ownership of Answer; a major factor in driving engagement, retention and growth for our people.
- Flexible annual leave (buy/sell and carry forward)
- Twice a year income‑tax free bonus based on company performance – it’s a reward for being a part of our EOT journey
- Continuous training and development – if you want to learn, we’ll provide the support you need
- Flexible Pension – we match your own contributions up to 5%
- A flexible Healthcare cash plan so you can fund the care you value most
- A packed social calendar including end of year party (partners invited) and Summer away days, monthly and quarterly company team socials.
- Parking at Head Offices in central Leeds, plus Cycle2Work & Green Car Lease schemes to help you get here
- The chance to give back – get involved nationally and regionally with partnerships to get people from different backgrounds into tech, as well as lots of charity and community events
- Hybrid and flexible working – you can vary your working when and where you work, to allow you to collaborate better, feed your creativity, and take the time and space to focus when you need to
- Diversity and Inclusion
At Answer we proudly embrace diversity and inclusion – we want to create a safe environment for everyone to bring their true selves to work.
If you require any adjustments to be made to your application (whether that’s support with our interview questions, adjusting how we interview, or financial support with our hiring process) then please speak to Lesley Waghorn, Senior Talent Acquisition Consultant lesley. waghorn@answerdigital. com
Lead Data Engineer in Leeds employer: Answer Digital
At Answer Digital, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Software Engineer in Leeds, you will benefit from a hybrid working model, competitive remuneration, and opportunities for professional growth through mentorship and collaboration with talented peers. Join us to be part of an innovative team that values quality, creativity, and the integration of cutting-edge AI technologies in software development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Leeds
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Lead Data Engineer in Leeds
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Answer Digital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Answer Digital. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Answer Digital
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Answer Digital!
✨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.
