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- Tasks: Migrate data tables and ETL workflows into Databricks using PySpark.
- Company: Join a dynamic consulting team focused on high-impact projects.
- Benefits: Short-term contract with immediate start and hands-on experience.
- Other info: Opportunity to work with experienced professionals in a collaborative setting.
- Why this job: Be part of a fast-paced environment and enhance your data engineering skills.
- Qualifications: Strong PySpark, SQL skills, and experience in ETL and data migration.
The predicted salary is between 50000 - 70000 £ per year.
We’re supporting a Databricks Delivery Partner on a short-term, high-impact migration engagement and are looking for a strong hands-on Databricks Data Engineer to join the project immediately.
This piece of work will focus on migrating data tables and ETL workflows from AWS Glue into Databricks, working closely with an experienced delivery team in a fast-paced consulting environment.
- Migrate existing data pipelines and tables into Databricks
- Build and optimise scalable PySpark-based data workflows
- Support Lakehouse and Delta architecture implementation
- Work across ETL orchestration, transformation and optimisation
- Strong PySpark / Spark / SQL capability
- Experience with ETL and data migration projects
- Exposure to orchestration tooling such as AWS Glue or Azure Data Factory
- Comfortable delivering in fast-moving project environments
Ingegnere dei dati (f/m) employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨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 past projects, especially those involving PySpark and ETL workflows. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Stay updated on industry trends! Follow blogs, podcasts, or webinars related to data engineering and Databricks. This knowledge can help you stand out during interviews and show your passion for the field.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Ingegnere dei dati (f/m)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, PySpark, and any relevant ETL projects. We want to see how your skills match the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the work we do.
Showcase Relevant Projects: If you've worked on similar data migration or ETL projects, make sure to mention them! We appreciate candidates who can demonstrate their hands-on experience and problem-solving skills in fast-paced environments.
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’re considered for this exciting opportunity right away!
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Inside Out
Make sure you brush up on your PySpark, Spark, and SQL skills. Be ready to discuss specific projects where you've used these technologies, especially in data migration or ETL processes. The more examples you can provide, the better!
✨Familiarise Yourself with Databricks
Since this role is all about migrating to Databricks, take some time to understand its architecture and features. If you can, play around with a trial version to get hands-on experience. This will show your enthusiasm and readiness to dive into the project.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you handle real-world challenges in fast-paced environments. Think of scenarios where you had to optimise data workflows or troubleshoot issues during migrations. Practising your responses will help you articulate your thought process clearly.
✨Show Your Team Spirit
This role involves working closely with a delivery team, so be prepared to discuss how you collaborate with others. Share examples of successful teamwork in previous projects, especially in consulting settings, to demonstrate your ability to thrive in a collaborative environment.