At a Glance
- Tasks: Build and optimise data pipelines using Databricks, Spark, SQL, and Python or Scala.
- Company: Join a forward-thinking tech company in Manchester focused on data-driven decision-making.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Take ownership of a critical data platform and make a real impact on business growth.
- Qualifications: Experience with Databricks, strong SQL skills, and knowledge of cloud data services.
The predicted salary is between 40000 - 50000 € per year.
Salary: £40K - £50K
Location: Manchester
Role Overview: Our client is seeking a Data Engineer to support the development, optimisation and ongoing improvement of a modern cloud-based data platform. This role would suit someone with strong hands-on Databricks experience who enjoys building reliable data pipelines, improving how data flows through the business, and creating trusted datasets for reporting and analytics. You will work across technical and non-technical teams, helping turn data requirements into scalable solutions that are accurate, maintainable and easy for the business to use.
Key Responsibilities:
- Build, enhance and maintain data pipelines within a Databricks environment.
- Use Spark, SQL and Python or Scala to support data transformation and automation.
- Develop structured data layers to support reporting, analytics and wider business use.
- Extract, ingest and integrate data from APIs, databases and other source systems.
- Build controls that help identify, investigate and resolve data issues before they affect reporting.
- Monitor data workflows and troubleshoot failures, performance issues and reliability problems.
- Work with BI and reporting teams to create clean, usable datasets for business consumption.
- Maintain clear technical documentation and support good practice around data structure, ownership and access.
- Support secure and appropriate use of data across the platform.
- Identify opportunities to simplify, automate and improve data engineering processes.
What We're Looking For:
- Experience working as a Data Engineer within a modern cloud data environment.
- Strong hands-on experience with Databricks and Apache Spark.
- Experience building structured data layers, ideally within a Bronze, Silver and Gold architecture.
- Strong SQL skills for transformation, validation and analysis.
- Python or Scala experience for data engineering, automation or scripting.
- Experience ingesting and integrating data from APIs and source systems.
- Good understanding of data reliability, controls and issue resolution.
- Experience working with cloud data services such as Azure, AWS or GCP.
- Exposure to lakehouse technologies, workflow scheduling or reporting platforms would be beneficial.
- Strong communication skills, with the ability to work across technical teams and business users.
Why Consider This Role?
This is a strong opportunity for a Data Engineer who wants to take ownership of a business-critical data platform and play a key role in improving data quality, structure and reporting capability. You'll be joining an environment where data is central to decision-making, with the chance to improve pipelines, strengthen controls and help shape scalable data solutions that support long-term business growth. The role offers exposure to Databricks, cloud data engineering, structured data architecture, data improvement work and analytics-focused transformation within a hybrid Manchester-based environment.
Databricks Data Engineer in Manchester employer: Akkodis
Join a forward-thinking company in Manchester that prioritises data-driven decision-making and offers a collaborative work culture. As a Data Engineer, you'll have the opportunity to take ownership of a critical data platform, enhance your skills with cutting-edge technologies like Databricks and cloud services, and contribute to meaningful projects that drive business growth. With a focus on employee development and a commitment to diversity, this role provides a rewarding environment for those looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Databricks. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, Spark, and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled data issues or improved workflows in past roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Databricks Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with Databricks and Apache Spark. We want to see how you've built reliable data pipelines and improved data flows, so don’t hold back on those details!
Showcase Your Skills:When writing your application, emphasise your SQL, Python, or Scala skills. We’re looking for someone who can transform and automate data processes, so let us know how you’ve done this in the past.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, especially when it comes to technical documentation and data structures. Make it easy for us to see your qualifications!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in Manchester.
How to prepare for a job interview at Akkodis
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your hands-on experience with building data pipelines and using Spark, SQL, and Python or Scala. Prepare examples of how you've optimised data flows and created reliable datasets in previous roles.
✨Showcase Your Problem-Solving Skills
Be prepared to talk about specific challenges you've faced in data engineering, especially around data reliability and troubleshooting. Think of instances where you identified and resolved data issues before they impacted reporting, and be ready to explain your thought process.
✨Communicate Clearly with Technical and Non-Technical Teams
Since this role involves working across various teams, practice explaining complex technical concepts in simple terms. Highlight your communication skills by sharing experiences where you successfully collaborated with both technical and non-technical stakeholders to deliver data solutions.
✨Demonstrate Your Passion for Data Improvement
Express your enthusiasm for data engineering and continuous improvement. Share ideas on how you would simplify and automate data processes within the company. Showing that you're proactive about enhancing data quality and structure will make a great impression.
