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- Tasks: Join us as a Data Engineer, focusing on Databricks and delivering innovative data solutions.
- Company: Peaple Talent is a leading data consultancy, partnering with top clients in the industry.
- Benefits: Enjoy hybrid working, competitive salary, and extensive learning opportunities.
- Why this job: Be part of a collaborative culture with exciting growth plans and impactful projects.
- Qualifications: Demonstrable data engineering skills, proficiency in SQL, Python, and experience with Databricks.
- Other info: Ideal for those with Azure/AWS certifications looking to advance their careers.
The predicted salary is between 50000 - 65000 £ per year.
Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. As a trusted Microsoft Partner, my client are leaders in the industry, with a diverse portfolio of clients and projects. Due to exciting growth plans we are now looking for a Data Engineer, specialising in Databricks.
We are looking for:
- Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure or AWS
- Strong experience designing and delivering data solutions in Databricks
- Proficient with SQL and Python
- Experience using Big Data technologies such as Apache Spark or PySpark
- Great communication skills, effectively participating with Senior Stakeholders
Nice to haves:
- Azure/AWS Data Engineering certifications
- Databricks certifications
What's in it for you:
- Location: Edinburgh (Hybrid) Remote working: Occasional office visits each month
- Salary: £50,000-£65,000 DOE
- Collaborative culture and great team support
- Vast L&D opportunities both internally and externally
Data Engineer employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its features. Consider building a small project using Databricks to showcase your skills, as practical experience can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Microsoft Azure or AWS. Attend meetups or webinars to connect with industry experts and learn about potential job openings.
✨Tip Number 3
Brush up on your SQL and Python skills, as these are crucial for the role. Consider taking online courses or working on relevant projects to demonstrate your proficiency in these languages.
✨Tip Number 4
Prepare to discuss your experience with Big Data technologies like Apache Spark or PySpark during interviews. Be ready to share specific examples of how you've used these tools to solve real-world problems.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data engineering skills, particularly in Databricks, SQL, and Python. Include specific projects or experiences that demonstrate your expertise in Microsoft Azure or AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention your experience with Big Data technologies like Apache Spark or PySpark, and how you can contribute to the company's growth.
Highlight Relevant Certifications: If you have any Azure/AWS Data Engineering or Databricks certifications, make sure to mention them prominently in your application. These can set you apart from other candidates.
Showcase Communication Skills: Since great communication skills are essential for this role, consider including examples of how you've effectively collaborated with senior stakeholders in past projects. This will demonstrate your ability to engage with key team members.
How to prepare for a job interview at Peaple Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, SQL, and Python in detail. Bring examples of past projects where you successfully designed and delivered data solutions, especially in Microsoft Azure or AWS.
✨Demonstrate Big Data Knowledge
Highlight your familiarity with Big Data technologies like Apache Spark or PySpark. Be ready to explain how you've used these tools in previous roles to solve complex data challenges.
✨Communicate Effectively
Since great communication skills are essential, practice articulating your thoughts clearly. Prepare to engage with senior stakeholders by discussing how you’ve collaborated with teams in the past.
✨Certifications Matter
If you have any relevant certifications in Azure, AWS, or Databricks, make sure to mention them. They can set you apart from other candidates and demonstrate your commitment to professional development.
