Senior Data Engineer
About us
Are you looking to join a talented, hardworking, diverse team, focused on a life-changing mission, at one of Europe’s fastest-growing tech startups? If yes, then you are in the right place!
At Elder, we are reinventing what it means to age. We have started with a care marketplace which connects older people, families and carers to enable 1:1 personalised care at home. Our technology platform CareOS is at the core of the Elder experience enabling a personal, transparent and flexible care experience for all. Since launch in 2016, more than 11 million hours of care have been delivered through Elder in over 500 towns and cities across the UK.
We’ve been fortunate to receive awards including the Sunday Times TechTrack fastest growing UK companies, Deloitte Fast50 and Care Company of the Year at the HealthInvestor 2022 & 2023 Awards while also covered by the BBC, Financial Times and The Guardian.
We are still in the very early stages of our mission and potential impact and looking for talented people to join us in delivering it that share our values of seeking excellence, together and for our society. What also matters to us? Well, it matters that you’re unique. It matters that you’re great at what you do, that you put in the hard work. And, obviously, it matters that you care as much as we do.
About the role
We are searching for an ambitious experienced Data Engineer to join our technology team reporting into our Data Lead and working collaboratively with Data Scientists, Analysts and Software Engineers. In this role, you will leverage your experience and expertise to provide technical leadership and skills to take a hands-on role in delivering an agile and robust data platform.
While we already have lots of existing data and infrastructure, we need someone to continue to align and refine our systems, driving best practices to propel us to the next level, being able to move fast and keep up with emerging company needs. Your main focus will be on unlocking data access for business analytics and data science by constructing downstream data models from operational data and providing tooling to access it. You will work comfortably with data from various sources and employ ETL and other techniques to simplify its consumption.
Your contribution will extend beyond data modelling and transformation. You will help us minimise our cloud costs, establish best practices across our Data Discipline, and scale and automate our data governance. Ultimately, you will champion a self-service data mindset and employ suitable tools to transform Elder into a data-driven organisation. Your success will be measured by the performance (or relative improvement) of the way Elder is able to access and use data, the business-wide impact of this, how well adopted data best practices are and the contribution of insights to our various functions.
Responsibilities
* Working closely with Software Engineers, Data Analysts and Data Scientists, provide technical leadership and expertise with a hands-on approach to deliver a data platform they can easily leverage
* Working with software engineers to ensure data sources can be accessed and transformed so insights can be derived from our data
* Move fast and keep up with emerging company needs
* Collaborate with other teams in Elder to set the standards and ways of working with data across the organisation.
* Help define and manage best practices for our Data Infrastructure and reporting. This may include payload design of source data, logical data modelling, implementation, metadata, data contracts and testing standards
* Automate data governance processes and contribute to the prioritisation of data governance issues
* Champion a self-service data mindset within the organisation
Requirements:
* 5+ years of experience working as a data engineer. You can clearly demonstrate the impact you’ve had in improving overall data quality and velocity
* Strong expertise in SQL, database design and performance tuning
* Experience of at least one full cycle of designing and implementing a data warehouse, using cloud tooling such as Google Big Query and cloud functions or similar technologies
* Fluent in building data transformation pipelines, dimensional models and data marts. using one or more ETL/ELT or Transformation tools such as Airbyte and CDP’s such as Segment
* Proficient in dimensional modelling concepts to power meaningful analytics
* Experience building import/export integrations with APIs such as Meta, Google and Bing Ads, Google Analytics and others
* Experience working with services in cloud environment(s) like GCP or AWS Programming experience in Python, Java, Kotlin or other language(s)
Benefits
We’re a service business and we know that without the best people, we cannot build the best company which is why we treat our team very well. We can offer:
* Competitive Salary + Company Bonus
* Stock Options (We are post-series B & backed by some of the best VCs in Europe)
* 25 days holiday + bank holidays + (1 extra day of holiday per year worked for first 5 years) (pro rota)
* 6 weeks work from anywhere in the world
* Dental and health insurance
* Hybrid office/remote flexible work arrangements -
* E-learning platform (Udemy)
* Sponsored quarterly team and company socials
* Mentoring and coaching programmes to help you achieve your personal and career goals
* Macbook + any particular extras you require
* Cycle-to-work scheme
* AND a genuine opportunity to be a very key part of a high-growth business
Do something you genuinely care about. Join a diverse team of skilled, passionate, and progressive people who like to get on with each other. Work at one of Europe’s fastest-growing scale-ups.
Elderly care represents one of society’s greatest challenges. Are you ready to be part of the solution? Apply today.
Elder recruits, employs, trains, compensates, and promotes regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected status.