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Senior Staff Data Engineer owning and evolving BILL's core data infrastructure—data lakes, real-time streaming pipelines, batch processing, and serving layers (Starburst, Databricks, Neo4j, OpenSearch)—while driving architectural decisions and mentoring engineers.
The Senior Data Engineer will design and build scalable cloud-native data pipelines on AWS for a BFSI client. The role requires extensive experience with AWS data services, ETL frameworks, and infrastructure-as-code tools in a hybrid work environment.
This Senior Data Engineer role involves designing and managing scalable cloud-native data platforms and pipelines using AWS services like S3, Glue, and Redshift. The position requires strong programming skills in Python, Scala, or Java and involves providing technical leadership to team members.
Location: London (2 days onsite per week) Duration: min. 6-month contract Start: ASAP Overview We are looking for a Lead Data Engineer to join a high-performing team delivering advanced data platforms that support…
Responsibilities Build and optimise the platform used by the data team to transform raw data into business insights. Build new data sources and pipelines that deliver key data and insights to the business, including…
Data Engineer – FinTech – Newcastle (Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer) Our client is a trailblazer in the…
The Opportunity We are seeking a skilled data engineer with at least 2 years of experience to join our team in London. You will design, build, and maintain data pipelines transforming data from hundreds of thousands of…
Analytics Engineer bridging data engineering and analysis, building scalable data models, marts, semantic layers, and CI/CD pipelines using orchestration tools like Airflow, with AI tools (Copilot, Claude).
The Data QA Engineer will ensure data integrity across the company's debt collection platform by managing test coverage in dbt, performing source-to-warehouse reconciliation, and validating client files and BI reports. The role utilizes SQL, Python, and dbt to detect and resolve data incidents within a fintech environment.
The Senior Data Engineer will design and maintain scalable data pipelines and models using Spark, Kafka, Delta Lake, and Hadoop. The role involves building real-time data flows on Azure and managing data lake governance.
The Senior Manager of Data Engineering will lead a team to design and maintain scalable ETL/ELT pipelines and data warehouse models. The role focuses on technical strategy, data governance, and cross-functional collaboration using Python, SQL, and cloud-based data platforms.
The Senior Analytics Engineer will build and optimize data pipelines using dbt, Airflow, and ELT practices while developing Power BI dashboards. The role requires extensive experience in data modeling and Snowflake to support analytics and reporting.
The Analytics Engineer will build and maintain data pipelines using dbt, Python, and Airflow while developing Power BI dashboards and data models. The role requires extensive experience in SQL, cloud data warehousing, and dimensional modeling to support business reporting and data quality.
Junior Data Engineer operating and supporting GCP-based data pipelines, monitoring Cloud Composer/Airflow orchestrations, and resolving production incidents to ensure data reliability.
The Data Platform Engineer will design and build production-grade data pipelines and systems to support analytics and AI initiatives. The role involves managing core platforms like Snowflake, dbt, and Dagster while driving data reliability and self-service tooling for the organization.
The Junior Data Engineer will build and maintain data pipelines on Google Cloud Platform, using Cloud Composer (Airflow) to monitor data flows and ensure platform reliability. The role involves collaborating with cross-functional teams to support analytics and data science initiatives.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL/ELT processes, and lakehouse architectures on Azure to support healthcare analytics. The role requires expertise in Python, SQL, and big data technologies like Spark and Kafka to ensure high-performance data processing and compliance.
Builds and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data solutions for an energy company’s modern data platform, ensuring reliability, performance, and cross-functional collaboration.
Business Analyst at an e-commerce house of brands in Tel Aviv, responsible for deep funnel and KPI analysis, A/B testing evaluation, and driving an AI-first analytics approach using SQL, Tableau, BigQuery, and Databricks.
Tech Lead Data Engineering role on client site, designing and industrializing GCP-based data pipelines, infrastructure (Terraform), orchestration (Airflow), and visualization (Streamlit) end-to-end.
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