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- Tasks: Join us as a Data Engineer, focusing on Databricks and delivering innovative data solutions.
- Company: Peaple Talent partners with a leading data consultancy, excelling in data engineering and analytics.
- Benefits: Enjoy hybrid working, competitive salary, and extensive learning opportunities.
- Why this job: Be part of a collaborative culture with exciting projects and growth potential.
- Qualifications: Demonstrable skills in data engineering, SQL, Python, and experience with Databricks required.
- Other info: Ideal for those with Azure/AWS certifications looking to advance their careers.
The predicted salary is between 40000 - 52000 £ 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. Since the role specifically requires expertise in Databricks, showcasing your knowledge through practical examples or projects can set you apart during discussions.
✨Tip Number 2
Brush up on your SQL and Python skills. Being proficient in these languages is crucial for a Data Engineer role, so consider working on small projects or challenges that highlight your abilities in these areas.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who work with Azure or AWS. Engaging with industry peers can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Consider obtaining relevant certifications in Azure or AWS. While not mandatory, having these certifications can demonstrate your commitment to the field and enhance your credibility as a candidate.
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. This 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 communicated with senior stakeholders in past projects. This will demonstrate your ability to collaborate within a team.
How to prepare for a job interview at Peaple Talent
✨Showcase Your Technical Skills
Make sure to highlight your experience with Databricks, SQL, and Python during the interview. Be prepared to discuss specific projects where you've successfully implemented data solutions, especially in Microsoft Azure or AWS.
✨Demonstrate Big Data Knowledge
Familiarise yourself with Big Data technologies like Apache Spark or PySpark. Be ready to explain how you've used these tools in past roles, as this will show your depth of knowledge and practical experience.
✨Communicate Effectively
Since great communication skills are essential for this role, practice articulating your thoughts clearly. Think about how you can convey complex technical concepts to non-technical stakeholders, as this will be crucial in your interactions.
✨Prepare for Certification Questions
If you have any Azure/AWS or Databricks certifications, be prepared to discuss them. If you don’t have them yet, consider mentioning your plans to pursue these certifications, as it shows your commitment to professional development.
