At a Glance
- Tasks: Design and develop data products to enhance decision-making and operational excellence.
- Company: Join Notting Hill Genesis, a leading housing association in London.
- Benefits: Enjoy flexible working, generous leave, and a supportive work environment.
- Other info: Be part of a diverse team committed to inclusion and continuous learning.
- Why this job: Make a real impact on residents' lives through innovative data solutions.
- Qualifications: Degree in a relevant field and experience in analytics engineering required.
The predicted salary is between 36000 - 60000 € per year.
Job Introduction
Analytics Engineer
At Notting Hill Genesis (NHG), we recognise the pivotal role data plays in transforming lives and improving the services we provide to residents. As an Analytics Engineer, you\'ll be at the forefront of this innovation - designing and developing data products that enable smarter decision-making and operational excellence.
This is an exciting opportunity to work with cutting-edge tools within Microsoft Azure, collaborating with colleagues across NHG to build reliable, scalable, and high-quality data solutions that directly impact how we deliver for our residents.
What you\\\'ll do
Working within the Information, Systems & Change Directorate, you will develop and maintain data pipelines, models, and analytical products that form the backbone of NHG\\\'s data capability. You\\\'ll ensure that data is accurate, timely, and trusted - enabling stakeholders to make evidence-based decisions.
You\\\'ll partner with technical and non-technical teams to understand business needs, translate them into data-driven solutions, and continually enhance our analytics engineering standards and practices.
How you\\\'ll do it
- Design, build, and maintain robust data pipelines and ETL processes using Azure Data Factory, Synapse, and Databricks.
- Develop analytics engineering solutions and data products within a medallion architecture, optimising for performance and usability.
- Own and manage NHG\\\'s Power BI platform - ensuring effective operation, security, and performance.
- Collaborate across data, governance, and infrastructure teams to deliver end-to-end solutions.
- Monitor data processes to ensure high availability and reliability; proactively identify and resolve issues.
- Follow rigorous testing and quality assurance to maximise trust in NHG data.
- Communicate technical insights in simple, non-technical terms to business stakeholders.
- Help grow NHG\\\'s data management and analytics roadmap, ensuring we remain at the forefront of data innovation.
Responsibilities
- Deliver high-quality analytics solutions that support NHG\\\'s strategic objectives.
- Support data governance, ensuring compliance with NHG\\\'s data policies.
- Maintain documentation, processes, and best practices for all analytics products.
- Drive continuous improvement in data engineering workflows.
- Promote a culture of data quality, transparency, and innovation.
The ideal candidate
We believe great service starts with great people. You\\\'ll bring curiosity, creativity, and technical excellence - along with a passion for applying data science to make a tangible difference.
Essential:
- Degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent professional experience).
- Proven experience in analytics engineering, data modelling, and building ETL pipelines.
- Proficiency in SQL and familiarity with OLAP, reporting, and analytics principles.
- Hands-on experience with Azure Data Lake, Azure Synapse, Azure Databricks, and Power BI.
- Strong problem-solving skills and ability to translate business requirements into technical solutions.
- Commitment to continuous learning and innovation in data technologies.
What\\\'s in it for you?
Once you join us, you\\\'ll find plenty of opportunities to grow within our organisation. You\\\'ll also have access to a wide range of learning opportunities to help you achieve your full potential.
- Excellent annual leave allowance and flexible working opportunities
- Generous pension scheme
- Enhanced maternity, paternity, and adoption pay
- Employee assistance and wellbeing services
- Health cash plan
- Staff discounts with leading retailers, gyms, and entertainment venues
- Interest-free loans (season ticket, tenancy deposit, training)
- Cycle to work scheme
- Life Assurance (4x annual salary)
All about us
Notting Hill Genesis (NHG) is one of London\\\'s largest housing associations, providing affordable homes for over 170,000 residents. We are both a landlord and a developer, with more than 60,000 homes and 10,000 more in the pipeline.
We welcome applications from everyone. We are proud to be a Stonewall Diversity Champion and a Disability Confident Employer, and we actively promote inclusion and equal opportunity for all. Learn more: group.nhg.org.uk/careers
Read about our diversity commitment: Diversity is our strength
Selection Process
Step 1: If you are interested, please send your application now!
Step 2: Attend an interview with the selection panel.
NHG reserves the right to close this vacancy early if sufficient applications are received.
Analytics Engineer employer: Notting Hill Genesis
At Notting Hill Genesis, we pride ourselves on being an exceptional employer that values innovation and collaboration. As an Analytics Engineer, you'll enjoy a supportive work culture that prioritises employee growth through continuous learning opportunities, alongside a generous benefits package including flexible working arrangements and a robust pension scheme. Join us in making a meaningful impact on the lives of our residents while working with cutting-edge technology in a diverse and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Notting Hill Genesis on LinkedIn. Ask them about their experiences and any tips they might have for landing the Analytics Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for your interview by brushing up on your technical skills. Make sure you can confidently discuss Azure Data Factory, Synapse, and Databricks. We want to see how you can apply your knowledge to real-world scenarios, so practice explaining your past projects.
✨Tip Number 3
Show off your problem-solving skills! During interviews, be ready to tackle hypothetical scenarios or case studies. Think about how you would approach building data pipelines or optimising analytics solutions, and communicate your thought process clearly.
✨Tip Number 4
Don’t forget to highlight your passion for data innovation! Share examples of how you've stayed updated with the latest trends in analytics engineering. This shows that you're not just looking for a job, but you're genuinely excited about contributing to NHG's mission.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your experience with data pipelines, Azure tools, and any relevant projects that showcase your skills in analytics engineering.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and how you can contribute to NHG's mission. Share specific examples of how you've used data to drive decisions or improve processes in previous roles.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! Mention your experience with SQL, Azure Data Factory, and Power BI. We want to see how you can bring your technical expertise to our team.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it as we move forward!
How to prepare for a job interview at Notting Hill Genesis
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like Azure Data Factory, Synapse, and Databricks. Be ready to discuss your hands-on experience with these technologies and how you've used them to build data pipelines or analytics solutions.
✨Translate Tech to Business
Practice explaining complex technical concepts in simple terms. Since you'll be collaborating with both technical and non-technical teams, being able to communicate insights clearly will show your ability to bridge the gap between data and business needs.
✨Showcase Problem-Solving Skills
Prepare examples of past challenges you've faced in analytics engineering. Highlight how you identified issues, developed solutions, and ensured data quality. This will demonstrate your strong problem-solving skills and commitment to continuous improvement.
✨Emphasise Continuous Learning
Express your passion for staying updated with the latest data technologies and trends. Share any recent courses, certifications, or projects that showcase your commitment to learning and innovation in the field of data science.
