At a Glance
- Tasks: Lead a team to develop and optimise data solutions for front office traders.
- Company: Exciting start-up investment management firm with strong growth potential.
- Benefits: Competitive salary up to £150k, bonus, healthcare, and generous holiday.
- Other info: Vibrant office culture with social events and career development opportunities.
- Why this job: Shape your role in a dynamic environment while making a real impact.
- Qualifications: Strong Data Engineering skills with Python, SQL, and team management experience.
The predicted salary is between 150000 - 150000 £ per year.
Do you have a first class education combined with Data Engineering skills? You could be progressing your career as a Lead Data Engineer at a start-up Investment Management firm that has secure backing, an established Hedge Fund client as a partner and massive growth potential.
Your role: As a Lead Data Engineer you will manage a small team, working closely with front office traders and analysts to understand and define their data needs, ensuring that data capabilities align with business objectives. You'll take a lead role in the ongoing development and operation of the firm's data platform, leveraging both in-house and third-party data tools to deliver scalable and efficient solutions. A key focus will be on analysing and automating data-related processes, identifying opportunities to streamline workflows and reduce manual intervention. You'll play a key role in establishing and enforcing data standards and quality controls, helping to ensure the integrity, consistency and reliability of data across the organisation, whilst developing your team and providing subject matter expertise.
Location / WFH: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours 0900-1800 with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!), there's a diverse, social team atmosphere with many employees having recently relocated and lots of support available.
About you: You have an academic record of achievement, minimum 2.1 at BSc from a top tier university, Computer Science or similar technical / scientific discipline, backed by minimum A A B grades at A-level. You have strong hands-on Data Engineering experience and a deep knowledge of modern data engineering best practices. You have experience of managing and mentoring other Data Engineers and of collaborating with software engineers and end users of data. You have technical expertise with technologies such as Python, SQL, Databricks. You have experience with Azure (will also consider AWS). You're excited to join a scale-up in a role that you can shape and influence. You're collaborative with excellent communication skills.
What's in it for you: As a Lead Data Engineer you will receive a competitive package: Salary to £150k, Bonus, 25 days holiday, Bupa healthcare, Generous pension contribution, Continuous career development opportunities, Special interest groups and clubs from running to board games, Social team atmosphere with a range of events and early finish for drinks on Fridays.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Lead Data Engineer Python Databricks SQL employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer Python Databricks SQL
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Python, SQL, and Databricks. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for your interviews by practising common questions and scenarios related to data engineering. Be ready to discuss how you’ve managed teams and streamlined processes, as these are key aspects of the Lead Data Engineer role.
✨Apply Through Our Website
When you find a job that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Engineer Python Databricks SQL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Python, SQL, and Databricks, and don’t forget to mention any leadership or mentoring roles you've had. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re excited about this opportunity and how your background makes you a perfect fit. Be genuine and let your personality come through – we love to see enthusiasm!
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s automating data processes or developing data platforms, we want to see concrete examples of your work and how you’ve made an impact.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Databricks skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them. This will show your technical expertise and problem-solving abilities.
✨Understand the Business Context
Familiarise yourself with the investment management sector and how data engineering plays a role in it. Think about how you can align data capabilities with business objectives and be prepared to share your thoughts on this during the interview.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be ready to discuss your experience in mentoring and leading other Data Engineers. Share examples of how you've fostered collaboration and improved team performance, as this will highlight your leadership qualities.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the company's data strategy, team dynamics, and growth opportunities. This not only shows your interest but also helps you gauge if the company is the right fit for you.