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For Companies At a Glance
- Tasks: Design and deliver analytics-ready data in a modern Lakehouse environment.
- Company: Join a leading law firm with a strong focus on data and collaboration.
- Benefits: Earn up to £67,000 with a flexible 4-day working week.
- Why this job: Shape the future of data analytics in a pivotal role.
- Qualifications: Experience in analytics engineering, SQL, and PySpark required.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
The predicted salary is between 67000 - 67000 £ per year.
This is an opportunity to join a growing analytics engineering function at a pivotal point in its data transformation.
THE COMPANY
They are a large, established law firm operating nationally, with thousands of colleagues across multiple UK offices. Data and analytics play an increasingly strategic role, supporting both operational and client facing teams. The culture combines high technical standards with a strong focus on collaboration, flexibility and doing the right thing.
THE ROLE
As an Analytics Engineer you will own the design and delivery of analytics-ready data within a modern Lakehouse environment, shaping how data is modelled, curated and consumed across the organisation. Specifically, you can expect to be involved in the following:
- Play a key role in a Lakehouse programme, sitting at the intersection of analytics, engineering and the business.
- Design and own analytics data models, transforming data from enriched layers into curated, analytics ready datasets.
- Develop and maintain robust SQL and PySpark transformations within Databricks.
- Work closely with data engineers, BI teams and stakeholders to translate complex requirements into trusted reporting.
SKILLS AND EXPERIENCE
The successful Analytics Engineer will have the following skills and experience:
- Strong commercial experience as an analytics focused engineer, rather than an analyst.
- Advanced data modelling capability, including dimensional modelling.
- Strong PySpark and SQL skills in production environments.
- Hands on experience with Databricks, including pipelines and governed data environments.
- A solid grounding in engineering best practices, testing and version control.
BENEFITS
The successful Analytics Engineer will receive the following benefits:
- Salary up to £67,000 - depending on experience.
- A 35-hour working week that can be done as a 4-day working week.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Analytics Engineer (12 month 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 (12 month FTC) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and PySpark skills. We all know that hands-on experience speaks volumes, so be ready to showcase your technical prowess during those tricky questions.
✨Tip Number 3
Don’t forget to highlight your collaboration skills! This role is all about working with data engineers and BI teams, so share examples of how you've successfully worked in teams to solve complex problems.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Analytics Engineer (12 month FTC) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your analytics engineering experience, especially with SQL and PySpark, to show us you’re the right fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about this opportunity. Share specific examples of your past work that align with the responsibilities of the Analytics Engineer role, and don’t forget to mention your passion for data transformation!
Showcase Your Technical Skills: Since we’re looking for someone with strong technical abilities, make sure to include any relevant projects or experiences that demonstrate your proficiency in Databricks and data modelling. We want to see what you can bring to our team!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Models
Make sure you brush up on your data modelling skills, especially dimensional modelling. Be ready to discuss how you've designed and owned analytics data models in the past, as this will show your understanding of the role's requirements.
✨Showcase Your Technical Skills
Prepare to demonstrate your strong SQL and PySpark skills. You might be asked to solve a problem or explain a transformation process, so having examples from your previous work handy will help you shine.
✨Understand the Lakehouse Environment
Familiarise yourself with Lakehouse concepts and how they integrate analytics and engineering. Being able to articulate your experience with Databricks and pipelines will set you apart from other candidates.
✨Collaborate and Communicate
Since the role involves working closely with data engineers and BI teams, be prepared to discuss how you've successfully collaborated in the past. Highlight any experiences where you translated complex requirements into actionable insights.