Analytics Engineer
London, England, United Kingdom
Houseful
Hybrid - minimum 2 days on site in London, Tower Bridge HQ
At Houseful, we’re here to help everyone make intelligent decisions about their home
Do the best work of your life!
Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo and Prime location. Together were creating the connections that power better property decisions, by unlocking the combined strength of software, data and insight.
We make moves with head and heart to achieve our big ambitions, and to drive progress in the property market. There’s never been a better time to join us.
As an Analytics Engineer in the Data Platform team, you’ll own and develop data modelling pipelines that power a wide range of data initiatives and data products.
In this role, you’ll:
- Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business.
- Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same.
- Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, such as data engineers and/or commercial teams, to ensure the business requirements are clear.
- Deliver, and enable others to build, well-defined, transformed, tested, documented, and code-reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self-serve, analyse, and build products and services upon it, getting reliable, consistent results.
- Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams.
- Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, testing, continuous integration).
We’re looking for someone who:
- Has experience setting up & developing dbt architecture using CI/CD practices (essential)
- Is highly proficient with SQL (essential)
- Has previously worked with visualisation tools such as Tableau or PowerBI (essential)
- Has experience working with AWS (Redshift, Glue, Lambda, Step Functions) or similar cloud platform, and Databricks (desirable)
We want to make Houseful more welcoming, fair and representative every day. We’ll consider everyone who applies for this role in the same way, regardless of your ethnicity, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, neurodiversity status, family or parental status, or how long you’ve spent unemployed. We’re reimagining the property industry for everyone, so we want our team to represent people from all walks of life. We actively welcome your application if your demographics or background are underrepresented in the technology or property sectors.
Benefits
- Everyday Flex - greater flexibility over where and when you work
- 25 days annual leave + extra days for years of service
- Day off for volunteering & Digital detox day
- Festive Closure - business closed for period between Christmas and New Year
- Cycle to work and electric car schemes
- Free Calm App membership
- Enhanced Parental leave
- Fertility Treatment Financial Support
- Group Income Protection and private medical insurance
- Gym on-site in London
- 7.5% pension contribution by the company
- Discretionary annual bonus up to 10% of base salary
- Talent referral bonus up to £5K
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS CI/CD Databricks dbt Engineering Lambda Pipelines Power BI Redshift SQL Step Functions Tableau Testing
Perks/benefits: Fertility benefits Fitness / gym Health care Insurance Medical leave Parental leave Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Scientist II jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs