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- Tasks: Join our team as a Data Engineer, focusing on Databricks and delivering innovative data solutions.
- Company: Peaple Talent is a leading data consultancy, trusted by clients for top-notch data services.
- Benefits: Enjoy hybrid working with occasional office visits and competitive salary ranging from £50,000 to £65,000.
- Why this job: Be part of an exciting growth journey in a dynamic industry with diverse projects and clients.
- Qualifications: Demonstrable skills in data engineering/BI, SQL, Python, and experience with Azure or AWS required.
- Other info: Ideal for those passionate about Big Data technologies like Apache Spark or PySpark.
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.
- 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
- Azure/AWS Data Engineering certifications
Edinburgh (Hybrid) Remote working: Occasional office visits each month
Senior Engineer, Data Engineering employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network with professionals in the data engineering field, especially those who work with Databricks. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Showcase your hands-on experience with Databricks by working on personal projects or contributing to open-source projects. This practical experience can set you apart from other candidates.
✨Tip Number 3
Stay updated on the latest trends and advancements in data engineering, particularly in Microsoft Azure and AWS. Being knowledgeable about new features can impress interviewers and demonstrate your commitment to the field.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems and scenarios, especially those involving SQL, Python, and Big Data technologies like Apache Spark. This will help you feel more confident during the interview process.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific skills and experiences required for the Senior Engineer, Data Engineering position. Highlight your experience with Databricks, SQL, Python, and any relevant certifications.
Tailor Your CV: Customise your CV to reflect your data engineering skills and experiences that align with the job requirements. Emphasise your proficiency in Microsoft Azure or AWS, and include any projects where you've successfully implemented data solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the consultancy's work. Mention specific projects or achievements that demonstrate your expertise in Databricks and Big Data technologies.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
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've successfully implemented data solutions, especially in Microsoft Azure or AWS.
✨Understand Big Data Technologies
Familiarise yourself with Apache Spark and PySpark, as these are crucial for the role. Be ready to explain how you've used these technologies in your previous work and the impact they had on your projects.
✨Highlight Relevant Certifications
If you have any Azure or AWS Data Engineering certifications, make sure to mention them. These credentials can set you apart from other candidates and demonstrate your commitment to the field.
✨Prepare for Behavioural Questions
Expect questions about teamwork, problem-solving, and project management. Use the STAR method (Situation, Task, Action, Result) to structure your answers and provide clear examples of how you've navigated challenges in your previous roles.
