At a Glance
- Tasks: Own the Databricks platform and enhance data quality for impactful business decisions.
- Company: Akkodis, a forward-thinking company focused on data-driven success.
- Benefits: Flexible work schedule, competitive pay, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Be part of a creative team solving real data challenges with cutting-edge technology.
- Qualifications: Experience with Databricks, Apache Spark, and SQL is essential.
The predicted salary is between 45000 - 55000 £ per year.
Akkodis seeks a Data Engineer to take ownership of a Databricks platform in Manchester, working 3 days per week. This role focuses on improving data quality, developing reliable data layers, and building trusted datasets for business decision-making.
Candidates should have strong experience with Databricks, Apache Spark, and SQL. The position requires creativity in solving data issues and contributing to robust data practices. Join a team dedicated to data-driven success!
Databricks Data Engineer: Platform Owner & Trusted Data in Manchester employer: Akkodis
Akkodis is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Data Engineer role in Manchester. With a strong emphasis on employee growth and development, we offer opportunities to enhance your skills in cutting-edge technologies like Databricks and Apache Spark, while enjoying the flexibility of a hybrid work model. Join us to be part of a team that values creativity and is committed to driving data-driven success.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Data Engineer: Platform Owner & Trusted Data in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those who work with Databricks and Apache Spark. A friendly chat can lead to insider info about job openings that aren't even advertised yet!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks and SQL. 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 challenges. Think about how you would tackle data quality issues or build reliable data layers. We want to see your creativity 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: Platform Owner & Trusted Data in Manchester
Some tips for your application 🫡
Show Your Databricks Skills:Make sure to highlight your experience with Databricks, Apache Spark, and SQL in your application. We want to see how you've used these tools to improve data quality and build reliable datasets.
Be Creative!:This role is all about solving data issues creatively. Share examples in your application where you've tackled challenges in innovative ways. We love seeing how you think outside the box!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Data Engineer role. We appreciate when candidates take the time to connect their experiences to what we’re looking for.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Akkodis
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge. Be ready to discuss your experience with the platform, including any specific projects you've worked on. Highlight how you've improved data quality and built reliable data layers in past roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've creatively solved data issues in the past. Think about challenges you've faced with Apache Spark or SQL and how you overcame them. This will demonstrate your ability to contribute to robust data practices.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer can influence business decision-making. Research Akkodis and think about how trusted datasets can drive success for their clients. This shows you're not just technically skilled but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about the team’s current data challenges or how they measure the success of their data initiatives. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
