Senior Data Engineer
Role details
Job location
Tech stack
Job description
A Data Engineer's role is to work closely with clients to understand their requirements to process, store and serve data. An Engineer will commonly work alongside data architect, scientists and analyst to build and support data flows. They will apply concepts from software engineering and DevOps and use data tools from a large and varied data landscape to present and host datasets for downstream consumption. The scope and responsibilities of a data engineer are wide ranging and largely driven by the data maturity of the clients business. A clear understanding of a clients needs are essential to ensuring data engineering outputs are successful, as is the ability to work with other data roles and interact across multiple organisational units. Data Engineers must understand the requirements of data consumers and the broader impact of data across the clients business such that they view their responsibilities through both technical and business perspectives.
In this role, you will:
- Build, improve and maintain data flows to extract, transform and load data
- Follow software engineering and DataOps best practices to rapidly develop and deploy high quality components
- Communicate with technical and non-technical people to build trust and rapport across the business.
- Work with stakeholder to understand business problems sufficiently to have a clear picture of requirements.
- Collaborate effectively within and across teams
- Show ability to quickly learn and adapt to evolving data engineering toolsets and techniques
- demonstrate core technical skills around SQL, Python or similar programming languages
- demonstrate fundamental skills in data management, orchestration, security and data modelling
- setup cloud services to host data infrastructure and store data
Senior Data Engineers are also expected to:
- Lead data teams from a technical perspective and setup delivery frameworks to ensure effective delivery
- Engage with business stakeholders to define work packages and build teams
- Lead design session and selection of strategic data products for data engineering platforms
- Build out skills and experience in other data practices around data modelling, architecture, strategy, science and analysis
- Demonstrate increasing breadth and depth across a range of data engineering products
Requirements
Do you have experience in SQL?, Our people are what differentiates us; they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients.
Benefits & conditions
- Work-life balance is important; you can work around core hours with flexible and part-time working
- As many of our customers work predominantly in the office, we expect all of our staff to work at least 3 days per week in the office
- You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before
- Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more
- You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE
- You'll be part of our company bonus scheme
- You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing