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For Companies At a Glance
- Tasks: Design and optimise the Azure Databricks Lakehouse platform while collaborating with engineers.
- Company: Established organisation with a strong engineering culture and a focus on data excellence.
- Benefits: Competitive salary, flexible remote work, and a commitment to work-life balance.
- Other info: Join a dynamic environment with opportunities for professional growth.
- Why this job: Make a visible impact in a supportive team while growing your technical expertise.
- Qualifications: Advanced SQL skills and experience with Databricks and PySpark.
The predicted salary is between 75000 - 75000 £ per year.
12 month FTC £75,000 + BENEFITS PRIMARILY REMOTE
THE COMPANY:
This client is a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive work-life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise.
THE ROLE:
You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership.
Key responsibilities include:
- Designing and building curated datasets using dimensional and semantic modelling techniques
- Developing and maintaining SQL and PySpark transformation pipelines
- Partnering closely with Data Engineers
- Translating business requirements into clear, well-documented data models
YOUR SKILLS AND EXPERIENCE:
Advanced SQL, including complex transformations and modelling
Databricks PySpark
Analytics Engineer (Databricks & Pyspark) (FTC) in Manchester employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer (Databricks & Pyspark) (FTC) in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with Databricks and PySpark. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to SQL and PySpark. This gives you a chance to demonstrate your expertise and makes you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and data modelling techniques. Practice common interview questions and scenarios that relate to the role of an Analytics Engineer.
✨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 Analytics Engineer (Databricks & Pyspark) (FTC) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and PySpark, as well as any relevant projects you've worked on. We want to see how your skills align with the role, 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 the Analytics Engineer position and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When filling out your application, make sure to mention specific tools and technologies you've used, especially around Azure Databricks and data modelling. We’re looking for candidates who can hit the ground running, so let us know what you bring to the table!
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 out on any important updates. Plus, it shows you’re keen to join our awesome team!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and PySpark skills before the interview. Be ready to discuss complex transformations and how you've used these technologies in past projects. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your ability to design and optimise data models, as well as your experience with Azure Databricks. This will demonstrate your analytical thinking and technical leadership.
✨Understand the Company Culture
Research the company’s engineering culture and values. Be ready to discuss how you align with their collaborative and supportive environment. Showing that you understand their commitment to technical excellence will help you stand out as a candidate who fits right in.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about their current projects or challenges they face with the Databricks Lakehouse platform. This not only shows your interest but also gives you a chance to assess if this is the right fit for you.