At a Glance
- Tasks: Design and build scalable data pipelines using Databricks, AWS, and Python.
- Company: Join a tech-led organisation transforming data architecture in regulated sectors.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with mentorship opportunities.
- Why this job: Make a real impact on business growth through innovative data solutions.
- Qualifications: Experience with Databricks, ETL/ELT pipelines, Python, and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
The Opportunity
We're partnering with a growing technology-led organisation that delivers critical services across highly regulated sectors. They're investing heavily in their data platform and are looking for an experienced Data Engineer to help shape the future of their data architecture. You'll play a key role in building scalable data pipelines, driving engineering best practice, and enabling advanced analytics across the business. This is an opportunity to join a company where data is becoming increasingly central to strategic decision-making.
The What?
You'll be joining a collaborative data team where you'll help design, build and optimise modern data solutions using Databricks, AWS and Python. This is an opportunity to influence architectural decisions, mentor colleagues and work on impactful projects that directly support business growth and transformation.
Requirements:
- Strong commercial experience with Databricks, Spark and Delta Lake
- Proven experience designing and building scalable ETL/ELT pipelines
- Strong Python and SQL skills
- Experience working with cloud platforms (AWS preferred)
- Knowledge of data modelling, data architecture and governance
- Experience with orchestration tools such as Airflow or Databricks Workflows
- Comfortable working closely with stakeholders, working independently delivering on high profile projects and mentoring team members
- Experience delivering complex data solutions from scratch
HYBRID WORKING PATTERN: This will be 3 days a week onsite and 2 days a week offsite.
Data Engineer (Databricks, AWS) employer: FORT
Join a forward-thinking technology-led organisation that prioritises innovation and collaboration in the heart of a dynamic sector. With a strong commitment to employee development, you'll have access to mentorship opportunities and the chance to work on impactful projects that shape the future of data architecture. Enjoy a hybrid working model that promotes work-life balance while being part of a team that values your contributions and fosters a culture of continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Databricks, AWS)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects with Databricks, AWS, and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with ETL/ELT pipelines and how you've tackled challenges in past projects.
✨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 Data Engineer (Databricks, AWS)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, AWS, and Python, and don’t forget to showcase those ETL/ELT pipelines you've built. 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 explain why you're passionate about data engineering and how you can contribute to our team. Mention specific projects or experiences that relate to the job description – we love seeing your enthusiasm!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We’re keen on seeing your thought process and how you’ve used your technical skills to drive results. This will help us understand your approach to problem-solving!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at FORT
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, Spark, and Delta Lake knowledge. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Pipeline Skills
Prepare to talk about your experience designing and building scalable ETL/ELT pipelines. Have specific examples ready that highlight your problem-solving skills and the impact of your work on previous projects.
✨Get Familiar with the Company’s Data Needs
Research the organisation and understand their data architecture and governance needs. This will help you tailor your answers to show how you can contribute to their strategic decision-making process.
✨Be Ready to Collaborate
Since this role involves working closely with stakeholders and mentoring team members, be prepared to discuss your collaborative experiences. Share examples of how you've successfully worked in a team and supported others in their development.
