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- Tasks: Lead the build of a cutting-edge cloud-based data warehouse using AWS technologies.
- Company: Join a thriving tech scale-up with a dynamic and driven leadership team.
- Benefits: Highly negotiable salary, flexible working, health facilities, and training opportunities.
- Why this job: Shape the future of data engineering in a fast-growing company and make a real impact.
- Qualifications: Strong experience in data engineering and hands-on expertise with AWS data services.
- Other info: Exciting opportunity for career growth in a collaborative and innovative environment.
The predicted salary is between 40000 - 70000 £ per year.
Our client is a successful tech scale-up, a cash-generative SME currently at c.£10m turnover and c.80 staff, looking to double in size in the next five years under the guidance of its experienced, highly charismatic and driven CEO, supported by a first-class senior leadership team.
We are looking to strengthen the company’s Data capability, working closely with a world-class CTO who leads a high-performing technology function, by appointing a new Senior/Lead Data Engineer.
As Senior/Lead Data Engineer you’ll take ownership of a strategically critical data-warehouse build, working hands-on to shape, implement and evolve a modern AWS-based data platform. You’ll act as the internal technical lead for a major project currently in discovery with an external provider, guiding technology choices, ensuring high-quality delivery and preparing the business for knowledge transfer and long-term ownership.
Reporting directly to the CTO, you’ll also help define and grow the internal data engineering function over time, setting standards, mentoring colleagues and ensuring the platform scales with the company’s ambitions.
Your responsibilities as Senior/Lead Data Engineer will include:
- Leading the build of a new cloud-based data warehouse, working hands-on with AWS technologies and modern data-engineering tooling (e.g. Snowflake, Redshift or equivalent)
- Acting as the internal technical owner for the outsourced data-warehouse project, ensuring alignment between business needs, architectural decisions and delivery outcomes
- Evaluating and selecting appropriate technologies, tools and patterns to support a scalable, secure and high-performing data platform
- Managing knowledge-transfer activity from the external provider, embedding best practice and ensuring the business can confidently own and extend the platform
- Designing and implementing robust data pipelines, modelling approaches and integration patterns to support analytics, reporting and operational use cases
- Establishing engineering standards, documentation and processes to support long-term maintainability and future team growth
- Providing guidance, coaching and leadership to colleagues as the function expands, fostering a positive, collaborative and delivery-focused culture
- Working closely with product, engineering, finance and operational stakeholders to understand data needs, prioritise work and ensure timely delivery
As Senior/Lead Data Engineer you’ll need:
- Strong commercial experience as a Data Engineer, Senior Data Engineer or Lead Data Engineer, ideally gained in a fast-paced, growing technology-driven business
- Hands-on expertise with AWS data services and modern data-warehouse technologies (e.g. Snowflake, Redshift, Glue, Lambda, S3, Step Functions)
- Proven experience designing and building scalable data pipelines, data models and ETL/ELT processes
- Strong understanding of data architecture, cloud engineering principles, security, governance and best-practice engineering standards
- Ability to self-manage, take ownership of complex technical work and operate confidently as the internal lead on a major data-platform build
- Experience collaborating with external suppliers or delivery partners, ensuring quality, alignment and successful handover
- Excellent communication, problem-solving and stakeholder-management skills
- A positive, pragmatic approach, balancing strategic thinking with hands-on delivery
Rewards and Benefits:
- Highly negotiable salary, likely between £50,000 and £100,000 (plus benefits) with potential stretch to c.£130,000 for exceptional candidates
- To secure maximum pay/rewards, you must possess all outlined experience, skills, knowledge and qualifications
- Full-time, permanent role based in Newcastle upon Tyne with excellent hybrid and flexible working
- Free parking
- On-site health facilities, staff events and discounts, training and more
Please note: High levels of interest mean we will only contact you if your application is shortlisted and this will happen within five working days. You must also be eligible to work in the UK. Immediate or near-term availability (within two months) is strongly preferred.
Senior/Lead Data Engineer in Newcastle upon Tyne employer: Catalyst
Contact Detail:
Catalyst Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Lead Data Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AWS and data warehousing. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges and solutions. Be ready to discuss how you've tackled similar issues in the past, as this will demonstrate your hands-on experience and problem-solving skills.
✨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 candidates who are proactive about their job search!
We think you need these skills to ace Senior/Lead Data Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior/Lead Data Engineer role. Highlight your hands-on experience with AWS and any relevant data technologies like Snowflake or Redshift. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past projects, especially those involving data warehousing and cloud engineering. Let us know what excites you about joining our team!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention your problem-solving abilities. We love candidates who can think critically and navigate complex technical challenges. Share a story where you successfully tackled a tough issue in a previous role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our awesome team!
How to prepare for a job interview at Catalyst
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS data services and modern data-warehouse technologies like Snowflake and Redshift. Brush up on your hands-on experience with these tools, as you'll likely be asked to discuss specific projects where you've implemented them.
✨Showcase Your Leadership Skills
As a Senior/Lead Data Engineer, you'll need to demonstrate your ability to lead and mentor others. Prepare examples of how you've guided teams or managed projects in the past, especially in fast-paced environments. This will show that you can take ownership and drive results.
✨Understand the Business Needs
Familiarise yourself with the company’s goals and how the data platform aligns with their ambitions. Be ready to discuss how you would evaluate and select technologies that support scalable and secure data solutions tailored to their specific needs.
✨Prepare for Stakeholder Engagement
Expect questions about your experience collaborating with external suppliers and managing stakeholder relationships. Think of examples where you ensured quality delivery and successful handover, as this is crucial for the role.