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Data Engineer II: Build ML-Ready Analytics Platform
Build and maintain a data-centric analytics platform to prepare and serve data for machine learning models using Python, Java, Scala, Spark, and SQL.
Data Platform Engineer - Python, Spark & AWS Pipelines
Build and maintain data pipelines using Python, Spark, and AWS services like Athena, S3, and Glue to enable analytics and reporting.
Senior Data Platform Engineer (Data Lake and Catalog)
Build and evolve a global travel company’s data lakehouse and catalog, using JVM/Kotlin, Spark, Hive, and AWS to store, govern, and expose data for analytics and products.
Senior Data Platform Engineer (Data Lake and Catalog)
Build and evolve Expedia’s data lake and catalog platform using Kotlin/Java, Spark, and AWS services to improve data discoverability and governance for analytics and product teams.
Full Stack Blockchain Developer
Builds and tests blockchain platforms and apps using Hedera Hashgraph, Ethereum (Solidity), and Hyperledger, with exposure to cryptocurrencies and mobile/big-data tech.
Data Platform Engineer
Design and maintain scalable data pipelines for an AI-driven platform that matches top scientists with enterprises using AWS services like Athena, S3, Glue, and Spark.
Data Engineer - Databricks, SQL & Python | Newcastle Onsite
Builds and optimizes data pipelines using Databricks, SQL, Spark, and Python to support investment management workflows, improving data processing and analytics for the firm.
Principal Data Engineer – Hybrid Cloud & ML Leader
Leads the design and delivery of secure, scalable data solutions using Python, SQL, Spark, and Hadoop in a hybrid cloud environment.
National Security Data Engineer — Hybrid, DV Cleared
Design and build secure, cloud-native data platforms for national security programs, using AWS/Azure, Spark, Databricks, Kafka, and ETL/ELT pipelines to support AI and ML workloads.
Data Platform Engineer
Build and maintain Mars’ Azure-based data platform using infrastructure-as-code and DevOps pipelines to ensure scalable, reliable data infrastructure for analytics and innovation.
Senior Data Platform Engineer — Real-Time Pipelines
Design and build cloud-native data platforms using Python, SQL, Spark, Databricks, and Snowflake for high-impact data solutions.
Staff Data Engineer London Contract Inside IR35
Staff Data Engineer modernizes enterprise-scale data pipelines using PySpark, AWS Glue, and Airflow, while setting engineering standards and coaching teams on cloud-native architectures.
Senior Hadoop & Big Data Engineer — Hybrid, Bonus
Senior Hadoop & Big Data Engineer builds and maintains Hadoop-based data platforms for a fintech company, using Hive, Spark, Python, and Java in agile teams.
Scientific Data Engineer - Product Safety
Build and maintain scalable data pipelines and Databricks solutions to transform scientific datasets for regulatory compliance and product safety in agriculture.
DevOps Team Lead
Lead a small DevOps team maintaining hybrid cloud infrastructure for a fintech-focused data analytics platform used by governments to combat financial crime.
Staff Data Engineer — Data Modernisation (PySpark, AWS) London
Lead modernization of large-scale data pipelines using PySpark, Python, AWS Glue, Spark, and Airflow in a regulated environment.
Hybrid Data Engineer - Build Reliable Data Products
Build and maintain data pipelines and models for government vehicle/driver services using SQL, Python, Databricks, and Spark.
Data Engineer SQL Databricks - Fintech
Build and maintain scalable data pipelines and models in Databricks and Azure to feed an investment-management firm’s front-office analytics and operations.
Data Engineer- Public Sector & Defence
Design and maintain scalable data pipelines for public-sector and defence clients, ensuring data accuracy and performance for analytics and decision-making using tools like Snowflake, SQL, Python, and cloud platforms.
Senior Python Data Engineer — AdTech & Data Platforms
Build and maintain data pipelines and platforms for programmatic advertising, using Python, SQL, Airflow, Kafka, and Snowflake to process and serve campaign data at scale.