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- Tasks: Lead a Data Engineering team and develop scalable data pipelines.
- Company: Fast-growing tech company with a focus on innovation and technical ownership.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Why this job: Make a significant impact in a rapidly scaling company and shape technical strategy.
- Qualifications: 10+ years in software engineering with strong data engineering skills.
- Other info: On-site collaboration 3 days a week to foster culture and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Are you an experienced Data Developer who enjoys greenfield development and likes technical ownership? As a senior Data Engineer, have you enjoyed working in rapid scale-up environments where you've had direct access to senior leadership, significant influence on technical strategy alongside fostering a culture of best practice and technical innovation within your teams?
Our client, profitable, well-funded and growing at 30% YoY, is looking for a Lead Data Developer to run their Data Engineering team. Having found product/market fit, this hire is now a key inflection point as they embark on a major re-engineering effort to position themselves for scale and to support the large backlog of clients ready to onboard to their platform.
As an established Senior/Lead Data Engineer, you'll have experience of the following:
- At least 10+ years commercial software engineering experience, with a strong focus on data-engineering at scale
- Strong experience building robust & scalable data pipelines using Python and PySpark
- A deep knowledge of Schema Design, SQL and database optimizations
- Experience of being a bar-raiser and helping improve engineering best practices
- Experience of orchestration tools like Databricks or Airflow
- Experience with cloud data warehouses like Snowflake or BigQuery
- Coaching, mentoring and growing an established mid-level team who are eager to learn from you
- Working in a start-up/scale-up environment where you enjoyed having a broad impact, close proximity to leadership and seeing first-hand the impact of your efforts
- Seeing the value being on-site 3 days a week has in building culture, fostering innovation, and supporting effective communication.
Nice to have:
- Experience with Kafka or other streaming platforms
- Experience with data quality frameworks like Great Expectations
- Experience with Delta Lake or modern data lake architectures
If you're an experienced Senior/Lead Data Engineer who is excited by greenfield development within a rapid-scale and growing a team around you, we'd love to hear from you. Strong data engineers are promised a response within 24 hours of application.
The Difference Engine is a recruitment company working on behalf of its client.
Locations
Data Engineer in Hampshire, Portsmouth employer: The Difference Engine
Contact Detail:
The Difference Engine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Hampshire, Portsmouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for new opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python, PySpark, and data pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with cloud data warehouses and orchestration tools, as well as how you've fostered innovation in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to connect with companies looking for talented data engineers like you. Plus, strong candidates get a response within 24 hours—so what are you waiting for?
We think you need these skills to ace Data Engineer in Hampshire, Portsmouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and PySpark. We want to see how you've built scalable data pipelines and contributed to technical strategy in previous roles.
Showcase Your Impact: When writing your application, focus on the impact you've had in past positions. Share specific examples of how you've improved engineering best practices or mentored teams. We love seeing how you've made a difference!
Be Authentic: Let your personality shine through in your application. We appreciate candidates who are genuine and passionate about their work. Don’t be afraid to share what excites you about data engineering and working in a scale-up environment.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you get a response within 24 hours if you're a strong fit!
How to prepare for a job interview at The Difference Engine
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially around data pipelines, Python, and PySpark. Be ready to discuss specific projects where you've built scalable solutions and how you approached challenges in schema design and database optimisation.
✨Showcase Your Leadership Skills
Since the role involves mentoring and leading a team, prepare examples of how you've coached others in the past. Highlight any initiatives you've taken to improve engineering best practices and how you've influenced technical strategy in previous roles.
✨Understand the Company’s Vision
Research the company’s growth trajectory and their current challenges. Be prepared to discuss how your experience aligns with their goals, especially regarding their major re-engineering efforts and onboarding processes for new clients.
✨Emphasise Cultural Fit
Given the importance of being on-site and fostering a collaborative culture, think about how you can contribute to team dynamics. Share your thoughts on building a positive work environment and how you’ve successfully done this in previous roles.