data Proficiency with Linux development, Git, containers, and CI/CD workflows Familiarity with SQL and at least one columnar or time-series data store (e.g., kdb+, ClickHouse, InfluxDB, Parquet/Arrow) Excellent problem-solving abilities, attention to detail, and clear communication skills Nice To Have: Prior exposure with execution algos, TCA, order-routing, or market-impact modelling Knowledge More ❯
Job Description AWS Stack, data being landed in S3, Lambda triggers, Data Quality, data written back out to AWS S3(Parquet Formats), Snowflake for dimensional model. Design and build the data pipelines, work with someone around understanding data transformation, this is supported by BA's, building out the data pipelines, moving into layers in the data architecture (Medallion architecture More ❯
technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking and engineering craft over buzzword familiarity.) What they’re looking More ❯
technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking and engineering craft over buzzword familiarity.) What they’re looking More ❯
Bonus Points For Workflow orchestration tools like Airflow. Working knowledge of Kafka and Kafka Connect. Experience with Delta Lake and lakehouse architectures. Proficiency in data serialization formats: JSON, XML, PARQUET, YAML. Cloud-based data services experience. Ready to build the future of data? If you're a collaborative, forward-thinking engineer who wants to work on meaningful, complex problems More ❯
services 5+ Years of overall software engineering experience Experience with tech stack including: Language: Python, Golang Platform: AWS Framework: Django, Spark Storage/Data Pipelines: Postgres, Redis, ElasticSearch, Kafka, Parquet Nice To Have Prior exposure to production machine learning systems. More ❯
to join their team in London on a full-time basis What You’ll Do Architect and implement high-performance data processing systems in Rust Leverage Apache Arrow and Parquet for in-memory and on-disk data efficiency Integrate and extend systems like DataFusion, ClickHouse, and DuckDB Design low-latency pipelines for analytical workloads Collaborate with product and platform More ❯
to join their team in London on a full-time basis What You’ll Do Architect and implement high-performance data processing systems in Rust Leverage Apache Arrow and Parquet for in-memory and on-disk data efficiency Integrate and extend systems like DataFusion, ClickHouse, and DuckDB Design low-latency pipelines for analytical workloads Collaborate with product and platform More ❯
programming skills in Rust , C , or C++ Solid understanding of operating systems, file systems, and storage internals Experience working with modern data formats or infrastructure tools (e.g., Apache Arrow, Parquet, DuckDB, ClickHouse) A passion for infrastructure and performance problems Willingness and ability to work on-site 5 days/week in London or New York City More ❯
programming skills in Rust , C , or C++ Solid understanding of operating systems, file systems, and storage internals Experience working with modern data formats or infrastructure tools (e.g., Apache Arrow, Parquet, DuckDB, ClickHouse) A passion for infrastructure and performance problems Willingness and ability to work on-site 5 days/week in London or New York City More ❯
programming skills in Rust , C , or C++ Solid understanding of operating systems, file systems, and storage internals Experience working with modern data formats or infrastructure tools (e.g., Apache Arrow, Parquet, DuckDB, ClickHouse) A passion for infrastructure and performance problems Willingness and ability to work on-site 5 days/week in London or New York City More ❯
