Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Senior Data Engineer developing and optimizing data pipelines for Ozone’s digital advertising products. Collaborating with teams to leverage data for product innovation and insights.
Responsibilities
- Lead the design and development of complex, product-aligned data pipelines and transformations in dbt Cloud and BigQuery, ensuring scalability and performance across multiple product areas.
- Act as the data lead within cross-functional Scrum teams, shaping data requirements, defining modeling strategies, and ensuring technical feasibility from discovery through delivery.
- Drive data discovery and technical scoping during product ideation, advising on the best ways to leverage data for new features, measurement, and product optimization.
- Own end-to-end quality and scalability of product data solutions, implementing frameworks that ensure accuracy, efficiency, and long-term maintainability.
- Proactively identify cross-product dependencies, lead alignment sessions with the wider Data Engineering team, and contribute to defining shared data standards.
- Champion best practices in testing, observability, and documentation, introducing improved frameworks or automation where possible.
- Integrate the advancement of the agentic development framework into product data development, driving automation and continuous improvement in data workflows.
- Contribute to the strategic evolution of Ozone’s data stack, evaluating new technologies and mentoring other engineers in modern data practices.
- Work with cross-functional teams to deliver data-driven product insights and performance tracking.
Requirements
- 5+ years of experience in a Data Engineering or similar role.
- Strong command of SQL and proven expertise building dbt models and large-scale data transformations.
- Deep experience with BigQuery and cloud-based data environments (GCP preferred).
- Solid understanding of data modeling, ELT/ETL, and analytics engineering best practices.
- Experience leading technical workstreams within cross-functional Scrum teams.
- Proficiency with version control (Git) and workflow orchestration tools (e.g., Airflow).
- Familiarity with agentic frameworks, data quality, and observability practices.
- Excellent problem-solving and communication skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to mentor others and contribute to continuous improvement across the team.
Benefits
- 30 days annual leave plus your birthday day off
- Competitive AVIVA pension scheme, with employer contributions up to 4%
- Medical cash plan - cash back on a range of health benefits incl. dental, optical, physio etc.
- Private Medical Insurance with Vitality - includes unlimited virtual GP consultations and Mental Health support in addition to cover for illness and a number of other incentives and benefits
- Income protection - to support you financially following serious illness or injury. This pays up to 70% of your salary for up to 5 years
- Group life assurance - tax free lump sum of 4x salary paid to your chosen beneficiaries
- Employee Assistance Programme - range of mental wellbeing support including life coaching and crisis support
- Rewards and discounts via interactive apps to make savings at your favourite brands, including gym discounts and savings on holiday and travel
- Hybrid working - mix of office and home working
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.