As a Data Engineer, you will design, build, and optimise enterprise-scale data solutions, helping our clients unlock the value of their data and accelerate performance.
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
Principal Engineer Data Architect & Analytics role at Collins Aerospace in Puerto Rico. Focus on data gathering, analysis, and implementation in hybrid working environment.
Principal Consulting AI / Data Engineer designing, building, and optimising data and AI solutions at DyFlex Solutions. Leading engagements with executives and mentoring teams in data engineering best practices.
Lead Data Architect at Davis Technology Management in Phoenix, AZ designing scalable data pipelines using Databricks. Collaborating with cross - functional teams and ensuring data quality.
Senior Data Governance SME leading enterprise data governance strategies. Implementing data governance frameworks and collaborating with technical teams for data quality.
Senior Associate Data Engineer contributing to Travelers' analytics landscape by building and operationalizing data solutions. Collaborating with teams to ensure reliable data delivery across the enterprise.
Salesforce Data Engineer serving as a subject matter expert in the State of Tennessee. Designing scalable data pipelines and collaborating on cross - agency initiatives.
Data Engineer Senior responsible for building data architecture and optimizing pipelines for Business Intelligence. Collaborating with analysts to develop insights using Power BI and Azure technologies.
Principal Data Engineer driving modernization from legacy systems to cloud - native platforms at Mastercard. Architecting and developing ETL platforms with AI integration and establishing data - driven strategies.
Principal Data Engineer modernizing cloud - native platforms for AI - powered solutions at Mastercard. Leading teams to enhance data processing efficiency and reliability across global operations.