Data Engineer focusing on Azure solutions and data pipelines. Involves technical leadership and implementing data architecture in a hybrid work setup.
About the role
- Data Engineer role at DyFlex Solutions, designing enterprise-scale data solutions for client projects using cloud and modern frameworks. Hands-on technical delivery combined with client-facing consulting in a hybrid work setup.
Responsibilities
- Design, build, and optimise enterprise-scale data solutions
- Build and maintain scalable data pipelines for ingesting, transforming, and delivering data
- Manage and optimise databases, warehouses, and cloud storage solutions
- Implement data quality frameworks and testing processes to ensure reliable systems
- Design and deliver cloud-based solutions (AWS, Azure, or GCP)
- Take technical ownership of project components and lead small development teams
- Engage directly with clients, translating business requirements into technical solutions
- Champion best practices including version control, CI/CD, and infrastructure as code
Requirements
- Hands-on data engineering experience in production environments
- Strong proficiency in Python and SQL; experience with at least one additional language (e.g. Java, Typescript/Javascript)
- Experience with modern frameworks such as Apache Spark, Airflow, dbt, Kafka, or Flink
- Background in building ML pipelines, MLOps practices, or feature stores is highly valued
- Proven expertise in relational databases, data modelling, and query optimisation
- Demonstrated ability to solve complex technical problems independently
- Excellent communication skills with ability to engage clients and stakeholders
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field
Benefits
- Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
- A flexible and supportive work environment including work from home
- Competitive remuneration and benefits including novated lease, birthday leave, remote working, additional purchased leave, and company-provided laptop
- Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
- Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
- Structured career advancement pathways with mentoring from senior engineers
- Exposure to diverse industries and client environments
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Architect establishing technical vision for data landscape at Arc'teryx. Leading design of scalable, integrated data systems for decision - making across the organization.
Sr Staff Data Engineer managing complex data engineering projects and mentoring team at PayPal. Developing data architectures and ensuring compliance with regulations.
Staff Data Engineer at PayPal designing and implementing data systems to support business needs. Leading data engineering projects and mentoring junior engineers while ensuring data quality and integrity.
Sr. Manager leading complex data engineering projects and driving global process improvements at PayPal. Collaborating with leadership to deliver actionable insights and best practices for data management.
Data Engineer at PayPal leading the design of complex data systems and architectures. Collaborating across teams to ensure data quality and optimize engineering processes.
Data Engineer at Anglian Water responsible for building scalable data pipelines and analytics. Collaborate with cross - functional teams using Azure data technologies in an Agile environment.
Data Engineer designing and implementing Azure data pipelines for VW Group Digital Solutions. Managing cloud services and ensuring data governance on a robust platform.
Data Engineer designing and delivering engineering solutions for diverse business goals with a focus on PostgreSQL. Collaborating with teams to improve delivery standards and ensure high - quality service.
Data Manager responsible for driving accurate and timely delivery of financial data at Bank of America. Collaborates with stakeholders and ensures data quality and governance standards are met.