Data Engineer Job Vacancy in Origin Housing London NW1 – Updated today

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Company Name : Origin Housing
Location : London NW1
Position :

Job Description : Salary: £53,734Location: Euston, LondonContractual Hours: 37About the VacancyOrigin – shaping communities; building livesOrigin exists to make change happen for the good of communities. We help people by providing affordable homes – but that’s not enough. We support vulnerable residents to lead happy and better lives. We empower our staff to take action and rise to every challenge with ‘can do’ positivity.Good people are the future of our innovative, working community. We have placed an exciting ‘People’ strategy at the heart of our culture – to support training and personal development, to deliver our values and to move Origin forward.Our vision for this roleOur ambition is to become a more data-driven organisation and we see data as having a mission critical role in helping our communities. We’re looking to find someone passionate about data, who can join us on the journey to reinvent how we use data.We’re looking for a detail-oriented, results driven and motivated person who can produce amazing business outcomes. Someone who is a great solution designer and problem solver. This is a great opportunity for someone who thrives on having wide ranging responsibilities and wants to take ownership of specific projects to improve our use of data and technology at Origin Housing.You will join an ambitious data team whose goal is to use data to improve the lives of our residents, while driving efficiency and better decision making throughout the whole organisation.At Origin professional development is valued and we hope that you value it too. You will be given freedom to work on areas that will deliver the most value, giving you the opportunity to gain more depth and breadth as a professional in the process. To support this, you will be able to work with some of the newest Microsoft, cloud, and open-source data technologies.What you’ll doAt a glance you will:Continue to iterate on the design and implementation of our data architecture to support the analytics needs of the business now and in the future.Support planning and implementation of the organisations data strategy.Create and maintain efficient data pipelines and ELT processes to centralise data across the whole business.Lead on development of our enterprise dimensional model, using dbt and Spark SQL to perform most data transformation, and PySpark for more complex transformations.Ensure that our new data architecture is well documented for technical and non-technical audiences with entity relationship diagrams, data dictionaries, data lineage graphsApply software development best practices such as git, continuous integration, continuous deployment, and test-driven development when developing new data processes.What you’ll needAnalytical and problem-solving skillsAs you’ll be using data to help solve real business problems, you will have excellent numerical, analytical, and problem-solving skills.Driven by business outcomesOur ambition is to drive real improvements for our communities through data. To make sure we maintain a focus on delivering value you will be motivated to produce improvements to business outcomes, not just by producing reports.Knowledge of data engineering best practiceTo make sure we are doing things in the right way, you will have knowledge of good practice relating to data engineering.Experience with data toolsSo that you can hit the ground running, you will need to have experience with the tools we use or similar ones such as Fivetran, Databricks, dbt, Airflow (Astronomer), Power BIA motivational approachCollaboration is highly important; you’ll need to demonstrate your experience of managing a team.Strong communication skillsCollaboration with team members and stakeholders is crucial. So, you will need to be a confident communicator both verbally and in writing.An Agile approachWorking at pace and adapting to change is key to the role, so you’ll need to be used to working in an agile way, applying DevOps principles to planning and prioritising work.Other desirable skillsThere are a few more skills that would be good to have, but these are not essential. They should give you more of an idea about the direction we are heading and the technologies we use. We are eager to hear from you even if you don’t tick all these boxes if you are hungry to learn and develop over time.You have experience with Natural Language Processing, either through code-based solutions or low-code solutions (Azure ML Studio, Databricks AutoML)You have experience creating data apps in Streamlit (or similar), and running them in production in the cloud (Docker, Azure App Service, Azure Container Registry)You have experience using Azure Data Factory to Extract and Load dataYou have experience with Microsoft Power Platform, including Power Automate, Dataverse and the Common Data ModelYou have knowledge of the social housing sectorJob Type: Full-timeExperience:using modern data tools for ELT: 1 year (required)SQL experience for data modelling and a scripting language: 1 year (required)

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