Data Engineering Academy focused on Snowflake and Databricks for professionals interested in expanding their technical capabilities. Fully remote with future office work in Monterrey or Saltillo after completion.
About the role
- Data Engineer at BAE Systems Digital Intelligence collaborating with clients to improve data management. Enhancing workflows and supporting data architecture with a focus on quality and efficiency.
Responsibilities
- 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.
Requirements
- 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
Benefits
- Work-life balance is important; you can work around core hours with flexible and part-time working
- 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
- Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Engineer at Intent HQ designing and scaling data platforms. Building high - impact intelligence from millions of customer insights with a focus on performance and reliability.
SAP Data Engineer supporting MERKUR GROUP's evolution into a data - driven company. Responsible for data integration, modeling, and collaboration with various departments in Group Finance.
Data Engineer at Booz Allen Hamilton organizing data and developing advanced technology solutions. Leading data engineering activities for mission - driven projects and mentoring multidisciplinary teams.
Senior Data Engineer at Bristol Myers Squibb developing scalable data pipelines for foundational products. Collaborating with data scientists and IT professionals to ensure data quality and accessibility.
Sr. Data Engineer building and maintaining data infrastructure for Purpose Financial. Collaborating with teams to improve data services and analytics.
Data Engineer II role focusing on developing and maintaining data pipelines for analytics. Collaborating with Data Science and Analytics teams to ensure data quality and reliability.
Senior Data Architecture Specialist designing and maintaining data integration solutions for Morgan Stanley. Involved in building data architecture and optimizing data storage using various technologies.
Lead Data Engineer responsible for building and maintaining the central HR data lake. Collaborating with analysts and business stakeholders for data - driven decision making.
Join GKN Aerospace as a Life Cycle Assessment & Sustainability Data Engineer. Conduct analyses of environmental impacts and manage sustainability data for a greener future.