1 to 25 of 55 Apache Iceberg Jobs in the UK

massive scale? Amazon S3 is the storage for the internet, and Amazon S3 Tables is the first cloud object store with built-in Apache Iceberg support, purpose-built for storing and querying tabular data at massive scale. It is fully managed, continuously optimizing, and delivers … higher transactions per second than Iceberg tables on general purpose S3 buckets, all within the same foundation that gives S3 eleven nines of durability. We are on the lookout for the curious, those who think big and want to define the world of tomorrow. Customers are bringing their most ...

management, and quality assurance.Collaboration: Engage with business and technology teams to align the platform with organizational goals.Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step … Functions, ECS).Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.Metadata Tools: Experience with tools like ...

practitioner, you will collaborate with architects, engineers, and analysts to deliver secure, scalable, and high-performing migration solutions, leveraging technologies such as AWS Glue, Apache Iceberg, Python/PySpark, SQL, and YAML-based configurations. You will thrive in a collaborative, client-facing environment, with a passion for solving … target cloud architecturesData Pipeline Testing & Validation (Core Focus)Test end-to-end ETL data solutions running on AWS services, including AWS Glue and Apache IcebergValidate data feed pipeline migrations transitioning to new AWS Data Lakehouse architecturesTest pipelines underpinned by: AI ETL acceleratorsPython/PySpark transformationsSQL-based logicYAML configuration-driven ...

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 ...

activities. You will work closely with architects, senior engineers, and analysts to deliver scalable and reliable migration solutions, using technologies such as AWS Glue, Apache Iceberg, Python/PySpark, SQL, and YAML configurations. You should be comfortable working in a collaborative, delivery-focused environment and have a strong … repointing and migration to cloud environmentsData Pipeline Testing & Validation (Core Focus)Test ETL/ELT data pipelines on AWS services, including AWS Glue and Apache IcebergSupport validation of data pipeline migrations to AWS Data Lakehouse architecturesTest pipelines using: Python/PySpark transformationsSQL-based validation logicYAML-driven configurationsExecute and validate ...

platforms capable of processing billions of events per day and managing terabytes scale datasets. Develop modern Data Lakehouse platforms leveraging S3-compatible object storage, Apache Iceberg, Spark, and Trino. Build real-time streaming integration using Apache Kafka and Apache Flink for low-latency event processing, enrichment … OpenShift, Terraform, CI/CD, GitOps, and Infrastructure as Code. Lead metadata, lineage, and data discovery capabilities using technologies such as DataHub, OpenMetadata, or Apache Atlas to improve platform transparency and usability. Ensure platform security and regulatory compliance through fine-grained access controls, encryption, secrets management, auditing, and secure ...

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 ...

Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch … streaming patterns Transformation and quality: dbt, Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud-native orchestration services Event streaming: Kafka and cloud-native event-streaming technologies Data modelling: Dimensional, analytical and domain-oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data products ...

tooling, or cloud cost management across at least one major cloud provider (Azure, AWS, or GCP). Technical Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow/Azure Data Factory or equivalent orchestration, Data Lake/Apache Iceberg, and advanced SQL for large‐scale transformations. ...

Data Analytics & Business Intelligence (BI) Experience: 5-10 years Location: United Kingdom - Glasgow, London Skills: Apache Airflow, AWS, Data Lake/Lakehouse, Databricks Certified (Data Engineer, ML), DBT, Python, SQL We are seeking a highly skilled Сonsultant Data Engineer to be the driving force behind this massive architectural shift. … PySpark, governed cataloging). Modern Data Stack: Strong proficiency in dbt (Core or Cloud) for data transformation and understanding of modern table formats, specifically Apache Iceberg. Orchestration: Experience building and maintaining data pipelines using Apache Airflow (Astronomer experience is a strong plus). Languages: Expert‐level SQL (ability ...

Data Analytics & Business Intelligence (BI) Experience 5-10 years Location United Kingdom - Glasgow, London Skills Apache Airflow, AWS, Data Lake/Lakehouse, Databricks Certified (Data Engineer, ML), DBT, Python, SQL We are seeking a highly skilled Сonsultant Data Engineer to be the driving force behind this massive architectural shift. … PySpark, governed cataloging). Modern Data Stack: Strong proficiency in dbt (Core or Cloud) for data transformation and understanding of modern table formats, specifically Apache Iceberg. Orchestration: Experience building and maintaining data pipelines using Apache Airflow (Astronomer experience is a strong plus). Languages: Expert-level SQL (ability ...

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 ...

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 CandidatesStronger ownership of technical design across multiple datasets … 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, KafkaData formats: JSON, Avro, ParquetPlatforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQEngineering and deployment: CI/ ...

skills Hands-on experience with Databricks for scalable data engineering, analytics, and collaborative development, as well as proficiency in managing large datasets using Apache Iceberg for efficient, reliable table management and data lake optimization Experience architecting and implementing enterprise-scale data warehouses on cloud platforms (e.g., AWS, Azure … data pipeline deployment and monitoring using CI/CD tools and infrastructure-as-code practices Hands-on expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark) Track record of collaborating with cross-functional teams (engineering, analytics, business stakeholders ...

Glue, EMR, or PySpark . Knowledge of data governance, quality controls, and testing practices. Experience working within large-scale enterprise environments. Desirable Knowledge of Iceberg or modern data lakehouse architectures. Experience with traditional ETL tools such as Informatica, ODI, Talend, or SSIS. Exposure to AI-enabled data engineering practices. ...

Medallion and Data Products. Hands on mindset : Fluent in the language of data, whether SQL, Python, PySpark, R or Scala. Open formats including Parquet, Iceberg and JSON. Agile Ways of Working Run and contribute to agile ceremonies, helping to shape and improve the agile process Work with the project ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data ...

experience including services such as S3, Glue, EMR, and PySpark . Experience defining data standards, governance frameworks, and architectural roadmaps. Desirable Experience with Iceberg and modern lakehouse architectures. Exposure to AI-enabled data platforms and automation. Previous experience leading data transformation or cloud migration programmes. Apply now to join ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with AI evaluation and observability ...

hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with AI evaluation and observability ...