At a Glance
- Tasks: Build scalable data pipelines and drive engineering best practices using Databricks and AWS.
- Company: Join a tech-led organisation transforming data architecture in regulated sectors.
- Benefits: 25 days holiday, training opportunities, and a collaborative culture.
- Other info: Hybrid working model with 3 days onsite and 2 days remote.
- Why this job: Influence data strategy and work on impactful projects that drive business growth.
- Qualifications: Experience with Databricks, Python, SQL, and cloud platforms like AWS.
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 - you will be liaising & working collaboratively with the consultancy partners as well as the data analytics team.
The Benefits:
- 25 days holiday + bank holidays
- Opportunity to influence a growing data function
- Training and development opportunities
- Collaborative and supportive culture
- Modern cloud-first technology stack
- Plus more!
And finally... Who are we? FORT - Future of Recruiting Technologists is a specialist technology recruitment consultancy, connecting exceptional technology professionals with some of the North's most exciting businesses. We focus on finding the right technical and cultural fit, helping both candidates and clients build long-term successful partnerships.
Interested? Let's chat.
Data Engineer (Databricks, AWS) in Manchester employer: FORT
Join a forward-thinking technology-led organisation that prioritises data-driven decision-making and offers a collaborative work environment. With a strong focus on employee development, you will have the opportunity to influence the growth of the data function while enjoying a modern cloud-first technology stack and a supportive culture. The hybrid working model allows for flexibility, ensuring a healthy work-life balance as you contribute to impactful projects in a highly regulated sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Databricks, AWS) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks and AWS. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving scalable ETL/ELT 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 Python and SQL skills. Be ready to discuss your experience with orchestration tools like Airflow or Databricks Workflows, as these are key to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talented folks like you with amazing opportunities. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer (Databricks, AWS) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, AWS, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how you can contribute to our data team. Keep it conversational but professional – we love a bit of personality!
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've designed and built scalable ETL/ELT pipelines or tackled complex data challenges. We’re keen to see how you approach problem-solving in real-world scenarios.
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 don’t miss out on any updates from us!
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, especially when it comes to building scalable ETL/ELT pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex data solutions you've delivered from scratch. Highlight your experience with Python and SQL, and how you've tackled challenges in data architecture and governance.
✨Understand the Business Impact
Since this role involves influencing architectural decisions, think about how your work can drive business growth. Be ready to discuss how your data solutions have supported strategic decision-making in previous roles.
✨Be a Team Player
This position requires collaboration with stakeholders and mentoring team members. Prepare to talk about your experience working in teams, how you’ve mentored others, and your approach to fostering a supportive culture.
