Data Engineer
Remote working (1 day per month on-site)
Competitive salary plus an industry leading bonus and pension scheme
My client is looking for a Data Engineer to work on innovative projects that balance essential services, optimise cutting-edge technologies, and safeguard valuable assets.
As a Data Engineer, you will develop future-proof pipelines and uncover deep insights from diverse datasets, collaborating with technical teams and clients to design, build, and leverage data architectures for ambitious projects.
Why You Should Apply
- Work on impactful and diverse projects.
- Flexible working hours and locations to suit your lifestyle. Circa 1 day per month required on-site.
- Comprehensive health and well-being support.
- Engaging social events and a supportive community.
- Generous employee benefits including industry leading bonus and pension scheme.
What You'll Be Doing
- Design and build robust end-to-end data pipelines locally and in the cloud.
- Advise on system, data, and model architecture during early-stage scoping.
- Ensure data is stored appropriately for its intended purpose.
- Clean, summarise, and analyse datasets for exploratory insights.
- Collaborate on multiple projects, raising technology readiness levels of proofs-of-concept.
- Stay updated on relevant tools and techniques in data-driven modelling.
About You
- Be able to do the job as described.
- Bachelor's degree in a scientific or engineering discipline.
- Expert in Python programming.
- Proficient in Linux and Windows environments, version control via Git, and unit/integration testing.
- Experienced with cloud platforms, relational databases, SQL, and building ETL pipelines.
- Skilled in data cleaning, merging, and visualization, with exploratory data analysis expertise.
(Advanced Mathematics, AI, Data Science, Data, Data Engineer, Data Pipelines, Data Architecture, Data Insights, Cloud Platforms, Python Programming, Linux, Windows, Version Control, Git, Unit Testing, Integration Testing, Relational Databases, SQL, ETL Pipelines, Data Cleaning, Data Merging, Data Visualisation, Exploratory Data Analysis, Technology Readiness, Proofs-Of-Concept, Data-Driven Modelling, Scientific Discipline, Engineering Discipline, Flexible Working, Health Support, Well-Being, Social Events, Employee Benefits, Enhanced Leave, Pension Scheme)