As a data engineer in the data protection capability, you will part of a team of engineers responsible for the implementing engineering services that will connect to data sources, perform data minimisation on data sets and govern the rules used.
You’ll be working in a high-performing devops environment
You’ll collaborate with colleagues across it and within business data teams to understand specific project requirements and provide tailored, complete solutions that fit their needs
You’ll collaborate with vendors to ensure you are extracting the best from the technology
You’ll take part in agile ceremonies to estimate requirements and deliver tailored, complete solutions in a way that is operationally stable and sustainableIn our platforms, if you build or implement it you run it.
You’ll coordinate change management activities to ensure no loss of service
You’ll be committed to continuing your technical development
You’ll follow best practices when deploying bespoke code or configuration, reducing rework, continually looking for optimisation
Advocate and advance modern, agile development practices and evangelize great engineering culture
Mandatory skills:
In this role you will be considered an aspiring top-tier engineer, trusted to produce solutions, fix technical issues and continually challenge the status quoComfortable in a fast-moving environment with multiple stakeholders, you will manage your priorities and focus on the kernel of problems.
You have data or software engineering experience – particularly if you have worked with privacy enhancing technologies
You have delivered novel engineering services, prioritising workloads and worked collaboratively with other engineering teams
You are technically competent and curious, with a passion to explore, fail and learn iteratively.
You can demonstrate stakeholder management skills – balancing business needs, governance requirements and operational delivery
You are familiar and can demonstrate hands on skills with technologies, languages and environments such as apis, etl, spark sql, python, ml modelling, aws (lambda, emr, ec2, s3), azure
You can demonstrate a solid understanding of key processes and techniques in the engineering delivery cycle (including agile and devops), machine learning, containers, apis, microservices and data pipelines.
You understand the importance of service and sustainability and are comfortable to have trade-off conversations around technical debt and service models.
You have previous experience working in a matrix structure
You appreciate the importance and principles of data management: governance, architecture, modelling and design, integration and operations, reference and master data (rdm, mdm), data warehousing and bi.
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Posted 24 days ago
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