Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
About the role
- Senior Data Engineer delivering impactful data engineering solutions for clients of a global digital marketing agency. Collaborative role within an innovative Data Engineering team focused on growth and technology.
Responsibilities
- 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
- 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
Job title
Job type
Experience level
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Degree requirement
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