9 of 9 Apache Jobs in the City of London

market data engineering with proven experience building reliable, scalable data platforms. Our non-negotiable requirements are: Expert Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome ...

data transformation tools such as Spark and DBT, with a focus on building well‐tested, maintainable data products is a strong advantage. Familiarity with Apache Iceberg table format and schema management via catalogs such as AWS Glue, with an appreciation for data quality and consistency is a strong advantage. ...

optimisation. Key Skills: Strong Google Cloud Platform experience BigQuery, including partitioning, clustering and performance tuning Dataflow, Dataproc and Pub/Sub Cloud Composer/Apache Airflow Python and PySpark SQL Cloud Storage Terraform Git and CI/CD Data quality, governance and security The role is based in London ...

security controls. Monitor, maintain and optimise data platforms to ensure performance and reliability. Skills and Experience Required: ETL development using Python or similar languages Apache Spark, NiFi, or Kafka Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases AWS and cloud-based data services Palantir Foundry Stakeholder Engagement Why Apply ...

preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud platforms (ideally AWS) and cloud-based data science solutions. DataOps principles and practices. Structured and unstructured databases. ...

replication tool, and Waggle Dance, a federation service that allows access to data lake tables across multiple catalogs. Recently, we added Hive support to Apache Iceberg, a high-performance open table format for large analytic datasets that underpins many modern Lakehouse architectures. We guarantee you'll learn ...

latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about ...

root-cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark . Working knowledge of common data formats such as JSON , Avro and Parquet . For More Experienced Candidates Stronger ownership of technical design … should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised ...

bespoke integration approaches for source-system onboarding. Define conceptual, logical and physical data models, including data flows, data domains and data ownership considerations. Specify Apache NiFi architecture patterns, flow standards, interface contracts and reusable ingestion components. Define governance, metadata, lineage, auditability, security monitoring and data quality requirements. Produce High … lake architectures on AWS. Strong knowledge of AWS security, IAM, networking, storage and data platform services relevant to secure data engineering. Extensive experience with Apache NiFi architecture, flow design, governance and operational considerations. Experience designing integrations using REST APIs, SOAP services, file transfers, batch ingestion, legacy adapters and bespoke ...