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The Data Engineer intern will support BI dashboards, data warehouse maintenance, and reporting initiatives by collaborating with IT and business units. The role focuses on ETL processes, documentation, and ensuring data security.
The Data Engineer will be responsible for data collection, ingestion, cleansing, and integration, while working with data warehouses and modeling. The role requires proficiency in SQL and familiarity with big data frameworks and API development.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and cloud-based data infrastructure. The role involves developing data models, implementing BI dashboards, and ensuring data governance using tools like Python, SQL, Airflow, and various cloud platforms.
The Data Engineer will design and maintain scalable data pipelines and data warehouses to support business requirements. The role involves managing data ingestion, batch processing, and ensuring overall data quality in collaboration with analytical teams.
Data Engineer responsible for translating business requirements into data engineering processes, consulting analysts on data ingestion/exports, and collaboratively designing and managing Data Warehouse and Data Mart using big data frameworks, T-SQL, and containerization.
Data Engineer in Jakarta designing and managing Data Warehouses and Data Marts with a focus on ingestion, integration, and data quality, collaborating with analysts and data modelers at a data solutions firm serving banks and enterprises.
Data Engineer designing, building, and maintaining a scalable ClickHouse Data Warehouse—including data layers, ETL, query optimization, and Metabase-based BI/analytics reporting for Finance.
Data Engineer driving end-to-end data projects (ETL, Data Warehouse) using Azure for an industrial group, as part of a 4-person team responsible from design through operational maintenance with a focus on AI and data trends.
The Data Engineer will be the first data-focused hire for a large industrial group in the beauty and luxury sector, responsible for building and maintaining ETL pipelines, data warehouses, and data applications. The role involves working with Python, SQL, and Azure cloud technologies to support the company's digital transformation.
The Data Engineer designs and maintains data warehouses, data models, and ETL processes to support business intelligence initiatives. The role involves translating business requirements into technical solutions using SQL, RDBMS, and various ETL tools.
Senior Data Engineer building and supporting scalable, enterprise-grade data platforms using Azure and Microsoft Fabric, designing data pipelines, Lakehouse and Data Warehouse solutions, and optimizing performance.
The Data Engineer will design and optimize SQL-based data pipelines and warehouse objects to support enterprise reporting and analytics. The role involves collaborating with BI teams to build scalable data solutions using NetSuite Analytics Warehouse and Power BI.
This Data Engineer role involves building and optimizing data models, SQL queries, and ETL pipelines to support enterprise reporting for a US-based sourcing company. The position requires expertise in SQL, data warehousing, and NetSuite Analytics Warehouse, with a focus on Power BI integration.
Salary: £46,000 - 86,000 per year Requirements: Bachelors degree in Computer Science, Engineering, or a related field 5+ years of experience in Data Engineering Strong SQL expertise Knowledge of data design and…
Analytics Engineer building data models with dbt, writing SQL, and working with BigQuery and Looker to support analytics at a payments company.
Salary: £50,000 - 85,000 per year Requirements: Proven experience with SQL development, including database design and optimisation. Strong knowledge of Power BI, with a demonstrated ability to create impactful…
Solution Architect at Skanska in London, designing data and cloud-native solutions using Azure, Python, Databricks, and ETL pipelines while producing HLD/LLD documentation.
Lead Data Engineer on a cloud delta lakehouse data platform using Azure, Databricks, and PySpark, based hybrid in Central London (4 days office).
Lead the rollout and maturity of The AA's Data Governance Framework—defining data definitions, ownership, lineage, and quality measures—while managing a small governance team and partnering with privacy, security, and risk functions. Core tooling includes Microsoft Purview or similar data governance/catalogue platforms.
Lead the rollout and maturity of The AA's Data Governance Framework, improving data quality, transparency and value of core data assets. Key technologies include Microsoft Purview or similar data governance/catalog tools, data warehousing and business intelligence.
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