Principal Engineer Data Architect & Analytics role at Collins Aerospace in Puerto Rico. Focus on data gathering, analysis, and implementation in hybrid working environment.
About the role
- Support the Head of Data Engineering in delivering data engineering solutions by actively contributing to technical decision-making and execution
- Ownership of project implementation to successfully deliver client solutions and services in collaboration with junior team members
- Champion data, software engineering and data security best practices and helping and mentoring the team to implement and uphold those practices
- Solutionising client deliverables
- Communicate effectively with clients to discuss project progress and details as required
- Being a key contributor in the implementation and maintenance of DataOps and governance policies, processes, and standards
- Hands-on involvement in data integrations, warehousing, automation and related engineering tasks
- Oversee the deliveries across multiple clients and assuring that the solutions meet the highest quality achievable within the project constraints
- Research and Development on the possible technologies and help the team and clients adopt those where appropriate
- Highlight risks and produce effective mitigation plans to address them
- Contribute to new business and cross-sell proposals, especially with details about the implementation work in proposed projects, and with estimations of the time and effort needed, which will contribute to the commercial element of a proposals
Requirements
- Proactive and self-motivated individual, keen to take initiative
- Excellent Python, SQL, and database design skills, with proficiency in dbt/Dataform or similar SQL development frameworks
- Proficient with cloud-based modern data warehousing technologies, particularly GCP and related technologies, especially BigQuery ( we are also open to considering candidates with strong comparable experience on other leading cloud platforms )
- Strong understanding of best practices and trends in data, software engineering and AI, including unit testing and producing clean, maintainable code
- An ability to communicate clearly and effectively on technical topics with varied types of technical and non-technical stakeholders
- Hands-on experience with the development and maintenance of production data pipelines, especially using serverless technologies
- Productionising software applications, experience with Docker
- Infrastructure automation, preferably with Terraform, CI/CD pipelines
- Experience leveraging GenAI technologies for data solutions
- Highly Desirable: Prior experience with Martech technologies and solutions
- Experience productionising Machine Learning solutions (MLOps)
- Experience in an agency environment while managing multiple priorities
- Desirable: Experience with data science for statistical / machine learning models
- Experience with data visualisation platforms such as Looker Studio
Benefits
- 25 days holiday a year
- Discretionary annual performance based incentive
- Sale commission
- Recruitment referrals bonus
- Health & Wellbeing contribution
- 2 Recharge Days each holiday year
- Ride to Work scheme
- Railcard Season Ticket loan
- Home office chair and home office screen
- Free fruit, breakfast cereals, snacks and tea & coffee in the office
- Enhanced Primary and Secondary family leave as well as extended Parental Leave and Shared Family Leave
- Life assurance and income protection
- Medical Cash Plan
- Pension
- Curated 3rd party learning platform as well as access to Croud Campus (our bespoke learning and development platform)
- IPA Membership
- Peer to peer recognition scheme 'bonusly'
- Team off-sites/regular socials
- Year-round holiday parties
- Flexible working options
- Standard hours are from 9.00am to 5.30pm, there’s flexibility if agreed in advance with your line managers (it may also be necessary on occasions to work outside of these hours).
Job title
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Degree requirement
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