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For Companies At a Glance
- Tasks: Lead a team to build and optimise high-performance data pipelines.
- Company: Join a forward-thinking Data & AI consultancy in Leeds City Centre.
- Benefits: Competitive salary up to £70,000 plus bonus, hybrid work model.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: 5+ years in data engineering with strong Python/SQL skills.
- Other info: Foster innovation while mentoring a small team in a dynamic environment.
The predicted salary is between 43200 - 58800 £ per year.
Salary: Up to £70,000 + Bonus
About Us:
Impactive are exclusively partnered with a Leeds-based Data & AI consultancy that turns messy, complex data into decisions people can actually use. They’re expanding their team and looking to hire a Data Engineering Lead, based in Leeds City Centre with a hybrid setup (2 days per week in-office). Their work sits at the intersection of data engineering, science, machine learning, and real-world problem solving. They help organisations ask better questions of their data, and then build the models, tools, and insight to answer them. They’re big believers that great results come from a smart mix of technology and humans who know how to use it. No hype, no black boxes for the sake of it - just thoughtful, practical applications of data and AI that deliver impact.
The person:
- 5+ years of experience in data engineering, management, data governance, or a related role.
- Strong experience with data management tools, databases and cloud platforms (AWS, Snowflake).
- Knowledge of data privacy laws and compliance requirements.
- Familiarity with data modelling, ETL processes, and data architecture.
The Role:
- Lead/mentor a small team of 2-3 data engineers, fostering a culture of innovation and excellence.
- Define and execute the data engineering strategy in alignment with business objectives.
- Advocate for best practices in data engineering, governance, and security of data held by HF adhering to compliance with industry regulations (e.g., GDPR).
- Architect, build, and maintain scalable, high-performance data pipelines.
- Own data observability - ensuring data quality, consistency, and availability across the organisation.
- Optimise ETL/ELT processes to support data ingestion, transformation, and warehousing.
- Collaborate with Product and Consultancy teams to optimise data collection, storage, and retrieval.
- Communicate technical concepts to non-technical stakeholders effectively.
- Evaluate and implement emerging data technologies to improve efficiency and performance.
- Conduct regular audits and assessments to identify and address data-related issues.
Desired Skills and Experience:
- Strong Python / SQL coding skills including strong knowledge of Data Management tools (e.g. DBT).
- Clear and structured thinking.
- Excellent communication and stakeholder management abilities both internally / externally.
- Attention to detail and a proactive approach to data integrity and security.
- Ability to translate business needs into data management solutions.
Data Engineering Lead in Leeds employer: Impactive IT
Contact Detail:
Impactive IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage with industry professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, pipelines, or any relevant work. This gives potential employers a tangible sense of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders in your role.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talent with opportunities, so make sure you check out the latest openings and submit your application directly for the best chance at landing that dream job.
We think you need these skills to ace Data Engineering Lead in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineering Lead role. Highlight your hands-on experience with data pipelines, cloud platforms, and any leadership roles you've had. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our mission. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Include relevant programming languages, tools, and technologies you’ve worked with, especially Python, SQL, and any data management tools. We love seeing candidates who are confident in their technical abilities.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Impactive IT
✨Know Your Data Inside Out
Make sure you’re well-versed in the data management tools and cloud platforms mentioned in the job description, like AWS and Snowflake. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your coding abilities during the interview.
✨Showcase Your Leadership Skills
Since this role involves mentoring a small team, be prepared to discuss your previous leadership experiences. Think of specific examples where you’ve successfully guided others or shaped a project’s direction, and how you fostered a culture of innovation and excellence.
✨Link Tech to Business Goals
The company values the connection between technical delivery and broader business objectives. Be ready to explain how your past projects have aligned with business needs and how you can help the organisation ask better questions of their data.
✨Communicate Clearly
You’ll need to communicate complex technical concepts to non-technical stakeholders. Practice explaining your work in simple terms, and prepare to discuss how you’ve done this in the past. Clear communication is key to success in this role!