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 developing Azure-based data solutions for clients in the Data & AI department. Collaborating with architects and consultants to enhance automated decision making.
Responsibilities
- Understand customer requirements and work collaboratively to design data solutions that deliver high quality outcomes.
- Enable higher quality data to be created & managed in our customers organisations
- Develop high quality data products utilising (primarily) cloud native patterns
- Engineer cloud-based data lake patterns to connect and leverage organisational & external data
- Provide technical support and guidance through prototyping, testing, build, and launch of data products
- Contribute towards the creation of technical support and design documentation for data platforms and solutions .
- Contribute to continually refining our development standards and best practices.
Requirements
- Strong technical expertise using core Microsoft Azure data technologies: Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog , Purview
- A strong background in Python development (for data engineering) and SQL
- Proficient with Azure databases such as Synapse EDW, SQL Managed Instance, and Azure SQL
- Skilled in Devops (CI/CD) implementations. Including IaC deployments (Bicep, Terraform, etc.)
- Adept at team collaboration and task tracking with Azure DevOps, adhering to Scrum/Agile methodologies.
- Knowledge and experience of the following would be advantageous : C# development skills
- Azure services used for infrastructure build and monitoring (ARM, Policy, Monitor, Log Analytics etc)
- Implementation of big data/analytics services
- Supporting AI/Machine Learning workflows at production-level scale
- NoSQL databases such as Cosmos DB or Mongo DB
- Knowledge of Microsoft Fabric and its requisite platform components, as well as monitoring, security and governance configuration within the platform
- Experience in working with Power BI, including Power Query, DAX, and Power BI Service.
Benefits
- A collaborative and supportive environment in which you can grow and develop your career
- The tools and opportunity to do work you can be proud of
- A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
- Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
- Industry leading coaching and mentoring
- Competitive salary and an excellent benefits package
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.
Data Engineer at UBDS Group focusing on designing and optimizing modern data platforms. Collaborating in a multidisciplinary team to develop reliable data assets for analytics and operational use cases.