1 to 25 of 49 Apache Iceberg Jobs in London

computations are represented, how query plans are optimized, how operators execute, and how data is read and written efficiently. We build on and extend Apache Spark, Apache DataFusion, and Apache Iceberg, bringing advances in open-source engines and table formats into the demanding environments our customers … want to advance the capabilities of modern data systems and apply that work to consequential problems. Technologies We Use Java, Scala, Rust, and Python Apache Spark, Apache DataFusion, Apache Comet, and Velox for data processing and query execution Apache Iceberg for table management and catalog ...

computations are represented, how query plans are optimised, how operators execute, and how data is read and written efficiently. We build on and extend Apache Spark, Apache DataFusion, and Apache Iceberg, bringing advances in open-source engines and table formats into the demanding environments our customers … learn how modern data systems work from the inside and apply that knowledge to consequential problems. Technologies We Use Java, Scala, Rust, and Python Apache Spark, Apache DataFusion, Apache Comet, and Velox for data processing and query execution Apache Iceberg for table management and catalog ...

semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache Iceberg as the core storage format, ensuring high-performance querying and seamless interoperability with Snowflake and heterogeneous compute engines. AI-Accelerated Schema & Pipeline … Change Data Capture (CDC), clustering, data migration, and aggregation. Use AI query-optimization tools to analyse execution plans, auto-tune complex Snowflake/Iceberg SQL workloads, and eliminate performance bottlenecks. Intelligent Telemetry & Closed-Loop Reasoning: Integrate automated AI inferencing and reasoning layers directly into data pipelines to detect telemetry ...

stores). Hands-on experience building, scaling, and shipping large-scale data platforms in production. Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop). Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis). End-to-end exposure … data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster). Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg). Advanced SQL skills and proficiency in Python. Strong background ...

operating ETL/ELT pipelines and large-scale data architectures. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Ability ...

environments. Technical Skills: Experience building and operating ETL/ELT pipelines. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar ...

support comprehensive data analysis and reporting. Implement and uphold best practices in data governance, security, and compliance, using tools like Azure Purview, UnityCatalog, and Apache Atlas tomaintaindata integrity and trust. Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes, continually refining and optimising data … large-scale data systems with high performance and low latency, such as managing 1 billion+ records or terabyte-sized databases. Knowledge of Delta TablesorApache Iceberg:Understanding and experience with Delta Tables or Apache Iceberg for managing large-scale data lakes efficiently. Knowledge of Data Governance Tools:Experience ...

change data capture (CDC), ETL/ELT and orchestration. A good understanding of relational and non-relational databases, open table formats (e.g. Delta Lake, Apache Iceberg), and data storage and lifecycle design. Practical knowledge of data governance, including cataloguing, lineage, data quality, ownership, classification and access policy, with … Associate/Fabric Analytics Engineer Associate. Experience with major cloud data services on Azure, AWS or Google Cloud. Knowledge of streaming platforms such as Apache Kafka or cloud-native equivalents. Familiarity with BI and semantic tooling, such as Power BI semantic models, or the Databricks/Snowflake semantic capabilities. ...

working with cloud‐native technologies, and applying robust software engineering practices. Key Responsibilities Design, develop, and optimise scalable, testable data pipelines using Python and Apache Spark. Implement batch workflows and ETL processes adhering to modern engineering standards. Develop Cloud-Based Workflows Orchestrate data workflows using AWS services such … Glue, EMR Serverless, Lambda, and S3. Contribute to the evolution of lakehouse architecture leveraging Apache Iceberg. Apply Software Engineering Best Practices Use version control, CI/CD pipelines, automated testing, and modular code principles. Participate in pair programming, code reviews, and architectural design sessions. Data Quality & Observability Build monitoring ...

data engineering, with demonstrated expertise in designing and implementing scalable, flexible modern data architectures Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments Strong knowledge of AWS (S3, Redshift) or Azure data services Experience with ETL/ELT processes and data ingestion Proven … expertise using transformation tools such as dbt Experience with data pipeline orchestration tools (such as Apache Airflow) Experience with best practices applied to data (e.g., testing, CI/CD) Advantageous Experience developing dashboards and reporting solutions using data visualization tools such as Power BI or Amazon QuickSight Experience with ...

Experience designing data products across source-aligned, aggregate and consumer-aligned patterns. Proven ability to architect and scale modern cloud data platforms using Snowflake, Apache Iceberg, Amazon Redshift, and S3. Hands-on expertise in developing robust data transformation pipelines and orchestrating complex workflows using dbt and Apache ...

designing end-to-end modern data platforms or lakehouses. Modern lakehouse mindset: Deep understanding of open lakehouse design and open table formats (such as Apache Iceberg or Delta Lake), keeping data open and portable. Practical, multi-paradigm data modelling: Deep, hands-on experience designing data models across Data ...

main language. Understanding how Spark runs on the JVM. Backend services and APIs. Change data capture or database replication. Open table formats such as Iceberg, Delta or Hudi. AWS data services, including Glue, Athena, DMS, MWAA or RDS. Cloud security and networking, including IAM, VPCs and secrets management. ...

main language. Understanding how Spark runs on the JVM. Backend services and APIs. Change data capture or database replication. Open table formats such as Iceberg, Delta or Hudi. AWS data services, including Glue, Athena, DMS, MWAA or RDS. Cloud security and networking, including IAM, VPCs and secrets management. ...

Amazon S3 AWS Lake Formation Amazon Athena Experience building Lakehouse architectures and modern data platforms. Experience working with data formats such as Parquet and Iceberg tables. Strong experience with Terraform for infrastructure automation. #J-18808-Ljbffr ...

Highly Desirable Skills Experience with streaming frameworks such as Flink, Kafka Streams and Kafka Connect Knowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data Catalog Exposure to DataOps practices and collaboration with Data Engineering teams Familiarity with GPU‐accelerated analytics using Spark with GPUs ...

have, not requiredDo not rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, PalantirExperience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLMSearch and ranking experience. For example Elasticsearch or rerankersBackground ...

this role, you will be the driving force behind building, scaling, and optimizing the critical data pipelines on top of our Lakehouse (Trino + Iceberg) infrastructure following a strict Medallion Architecture (Bronze, Silver, Gold layers). You will build robust data pipelines that serve as the foundational bedrock … working on? Technical Leadership & Pipeline Engineering Lakehouse Architecture: Design, build, and optimize robust end-to-end data pipelines on top of our Trino + Iceberg Lakehouse stack. Medallion Implementation: Own the extraction, cleaning, and modeling layers to progressively refine raw event logs (Bronze) into verified subledgers (Silver) and structured ...

pipelines, inference serving, and GenAI/RAG architectures grounded in proprietary content. Lakehouse and modern data platform design: strong knowledge of open table formats (Apache Iceberg, Delta Lake), zone architecture (landing, cleansed, curated), streaming and batch pipeline patterns, and data quality frameworks. Project engagement and design assurance: able ...

core data infrastructure tooling such as Kafka, Redis, and/or clustered Postgres. Nice to have experience Familiarity with open lakehouse technologies, such as Apache Iceberg and dbt. Experience building data infrastructure to support AI agents - including low-latency retrieval and analytical interfaces. Experience leading teams or managing ...

rely on automation versus writing code by hand. Preferred qualifications, capabilities, and skills Experience with big-data technologies, such as Splunk, Trino, and Apache Iceberg. AI/ML experience with building models. AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer). #J-18808-Ljbffr ...

MLflow, VS Code or JupyterHub for model development, experimentation and deployment.* Work with technologies to access, manage and analyse data at scale (e.g., Apache Iceberg and Trino).**Delivery Excellence*** Participate fully in Agile ceremonies including sprint planning, backlog refinement, demonstrations and retrospectives.* Produce high-quality technical documentation … machine-learning models, including monitoring, drift detection and performance management.* Awareness of modern lakehouse or enterprise data platforms and technologies such as Trino and Apache Iceberg.* Experience in NLP, large language models, Generative AI, deep learning, graph analytics.* Responsible AI or retrieval-augmented generation.* Delivery of data products ...

MLflow, VS Code or JupyterHub for model development, experimentation and deployment. Work with technologies to access, manage and analyse data at scale (e.g., Apache Iceberg and Trino). Delivery Excellence Participate fully in Agile ceremonies including sprint planning, backlog refinement, demonstrations and retrospectives. Produce high-quality technical documentation … machine-learning models, including monitoring, drift detection and performance management. Awareness of modern lakehouse or enterprise data platforms and technologies such as Trino and Apache Iceberg. Experience in NLP, large language models, Generative AI, deep learning, graph analytics. Responsible AI or retrieval-augmented generation. Delivery of data products ...

platforms. You will leverage cloud-native technologies and AWS tools such as AWS S3, EKS, Glue, Airflow, Trino, and Parquet, while preparing to adopt Apache Iceberg for even greater performance and flexibility. You’ll tackle high-performance data workloads, ensuring seamless execution of massive queries, including 600+ billion ...

Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with ...