Data Engineer

• Contribute to the development of a shared, reusable data engineering framework — including common pipeline patterns, DBT project structure, Terraform modules, and Python libraries — designed to be adopted consistently across all projects in the digital portfolio.
• Coach and enable other engineers and project teams on how to work with the framework, helping them onboard quickly, apply it correctly, and feed improvements back into the shared codebase.
• Implement data ingestion, transformation, and consumption pipelines on the Microsoft Fabric platform, following architectural patterns and best practices defined in close collaboration with the Staff Data Engineer.
• Build and maintain DBT models for data transformation and modelling, ensuring data quality, consistency, and reusability across B2B digital products.
• Develop and maintain Python-based data engineering components, including custom connectors, utility libraries, and pipeline orchestration logic.
• Manage and evolve infrastructure as code using Terraform, contributing to workspace provisioning, access control, and lifecycle management in line with platform standards.
• Participate actively in technical discussions with the Staff Data Engineer and product teams to translate requirements into well-scoped, implementable solutions.
• Implement monitoring, alerting, and observability for pipelines and DBT jobs.
• Share knowledge, support code reviews, and help establish engineering standards within the team.

Senior Data Engineer

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Build ELT workflows to extract, transform, and load large datasets from multiple internal and external sources.
• Develop and maintain cloud-based data infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
• Implement orchestration and scheduling workflows using Apache Airflow or Amazon MWAA.
• Develop data transformations and modelling processes using SQL and dbt.
• Integrate streaming and large-scale processing solutions using technologies such as Apache Kafka and Apache Spark.
• Ensure the reliability, performance, and scalability of production data pipelines and infrastructure.
• Participate in a scheduled on-call rotation to monitor, troubleshoot, and resolve high-priority data pipeline issues, ensuring the reliability of the data platform during weekends and bank holidays.
• Support the integration of data into enterprise data warehouses such as Snowflake or Redshift.

Cloud Data Engineer

• Collecting, connecting data sources and preparing reports from Global Partners/Platforms.
• Matching, importing and automating data flows.
• Building and optimizing data model.
• Resolving matching issues and discrepancies with the Global teams.
• Preparing dashboards and updating internal systems.
• Collaborating with other departments to identify opportunities for process improvements and recommend optimization.

• Support end-to-end ERP data migration for Microsoft Dynamics 365 Business Central
• Analyze legacy systems and contribute to data mapping and transformation design
• Execute migration cycles including data loads, validation, and reconciliation
• Act as a bridge between business and technical teams during migration activities
• Support data quality assessments and ensure consistency across systems
• Assist in integration topics where required (interfaces, data flows)
• Troubleshoot migration issues and support stabilization phases
• Ensure adherence to data governance and quality standards
• Document migration logic, mappings, and outcomes

Data Migration Support – Technical, Scripting Focus

• Working with stakeholders to grow the amount and kinds of customer-defined targetings we can calculate in real-time
• Develop new features for our in-house streaming key/value DBs
• Improve resource utilization across all stages of our data pipelines, from validation and ingestion to storage to dynamic queries
• Collaborate with developers and stakeholders to design services in order to meet product and business requirements

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Senior Data Engineer

Cloud Data Engineer

Data Engineer

Data Migration Support – Technical, Scripting Focus

Senior Data Engineer