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The Lead Data Engineer will design and optimize scalable data infrastructure while leading a team of engineers. The role involves managing technical roadmaps and ensuring data quality using technologies like Python, SQL, Spark, and Azure Databricks.
The Data Engineer will design, build, and optimize data pipelines on the Azure platform while transitioning to Microsoft Fabric. The role involves collaborating with data analysts and DevOps teams to ensure secure, scalable, and efficient data infrastructure.
The Lead Data Engineer will design and manage scalable data pipelines and infrastructure while leading a data team to deploy algorithms into production. This role involves collaborating with Product Owners to define the technical roadmap for data, insights, and analytics projects.
Lead the Digital Foundations team, setting data architecture and engineering standards for AI/data products—overseeing data pipelines, data models, platform evolution, and team development using cloud data platforms, Git/GitHub, and CI/CD.
The Lead Data Engineer will work within a technology consulting firm to deliver engineering solutions in a collaborative environment. The role focuses on developing coding skills and contributing to the growth of the company's engineering consultancy practice.
Data Engineering Lead is required by a large organisation to lead the design, delivery, and operation of a Microsoft Fabric-based data platform supporting BI, analytics, AI/ML and other data initiatives across the…
Lead data engineering activities for large-scale banking data migration and modernization projects, designing scalable ETL/ELT pipelines from legacy systems to cloud platforms while managing cross-functional engineering teams.
Lead large-scale banking data migration and cloud modernization—architect migration strategies, build scalable ETL/ELT pipelines, and manage cross-functional data engineering teams while ensuring governance and compliance.
The Lead Data Engineer will design and maintain a cloud-based Finance Data Platform, managing data pipelines, ETL frameworks, and governance for financial datasets. The role involves collaborating with cross-functional teams to support advanced analytics using technologies like Python, SQL, Databricks, and cloud infrastructure.
Lead Data Platform Engineer owning the technical roadmap for data infrastructure, overseeing ETL architecture, data governance, and mentoring a squad of engineers to deliver digital products.
Lead digital initiatives and data engineering efforts, building scalable data platforms, enforcing data governance, and driving AI adoption across the organization.
The Lead Data Platform Engineer will own the canonical data models and semantic layer, establishing data contracts and enabling self-serve analytics. The role involves working with a modern stack including BigQuery/Snowflake/Redshift, dbt, Python, and various orchestrators to ensure reliable and compliant data infrastructure.
Groupe Kanbios is seeking a Lead Data Engineer to design and implement scalable data architectures and lead a technical team. The role involves collaborating with product and business stakeholders to build data pipelines and ensure high data quality and governance.
Lead Data Engineer at a consulting agency, designing robust data architectures and leading a technical team while advising clients on cloud data platforms, pipelines, and big data technologies.
Lead Data Engineer on a cloud delta lakehouse data platform using Azure, Databricks, and PySpark, based hybrid in Central London (4 days office).
The Lead GIS & Data Engineer manages electricity and gas survey data, oversees contractor earthworks registration, and leads the data management team in implementing GIS-enabled system enhancements.
The Big Data Engineering Lead will oversee the development and maintenance of enterprise data pipelines, data models, and services while leading a high-performing engineering team. The role requires expertise in Python, PySpark, SQL, and modern data architecture patterns to ensure scalable and reliable data solutions.
The Data Platform Lead will guide the development of scalable data pipelines and enterprise-grade data solutions while mentoring a team. The role focuses on data modeling, ETL/ELT processes, and maintaining high standards for data quality and lineage using SQL and PySpark.
The Lead Data Engineer will manage healthcare payer data pipelines, including ingesting and standardizing claims data and maintaining Snowflake infrastructure. The role requires extensive experience with Python, Dagster, and SQL to collaborate with finance and account management teams.
Leads GCP-based data engineering for scalable cloud pipelines, orchestrating workflows and collaborating with data scientists to design ingestion, storage, and processing systems with Terraform, Cloud Run, and GKE.
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