1 to 25 of 183 Apache 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 operate … 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 interoperability ...

platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing ...

experience as a Data Engineer or Senior Data Engineer Expert-level Python development skills Extensive hands-on experience with Databricks in enterprise environments Strong Apache Spark and PySpark expertise Advanced SQL development and optimisation skills Experience designing and building large-scale ETL and data integration solutions Strong understanding ...

PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence ...

PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence ...

analysis and returning the results to various business systems. We build on a vast variety of technological stacks, from building products on top of Apache Kafka, Apache Spark, and Apache Beam to integrating Neo4j into Google Dataflow Templates and Microsoft Fabric. We also build backend components … ideally have professional experience developing software systems, either in cloud or on-premises, involving either of the following; Distributed event streaming platforms, such as Apache Kafka or similar products, Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives, Data warehouses ...

Storage, Azure Data Lake Store, S3, Synapse Analytics and/or PowerBI xp with server, operating system and infrastructure technologies such as Nginx/Apache, CosmosDB, Linux, Bash, PowerShell, Prometheus, Grafana, Elasticsearch) xp with Infrastructure-as-Code and Automation tools such as Terraform, Chef, Ansible, CloudFormation/Azure Resource ...

batch and streaming data pipelines using Kafka, Flink, and ETL technologies Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools Develop and optimize analytical data models for time-series, financial metrics, and trading activity Implement and manage analytical databases (ClickHouse ...

pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential Strong commercial experience building production-grade data pipelines using Apache Spark (PySpark preferred). Experience delivering modern data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with data modelling. ...

build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Implement continuous integration ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting tools ...

value. Excellent analytical, problem-solving, and communication skills. Proven experience leading data modernisation initiatives across multiple sectors. Technical Expertise Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog. Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation). Hands-on expertise ...

comfortable operating across both clouds. Familiarity with OLAP and OLTP storage systems and an eagerness to build expertise in stream processing technologies such as Apache Flink, Kafka, or Spark. (Nice to have: ClickHouse.) Familiarity with observability tooling such as Grafana or Datadog, and a good instinct for keeping systems ...

principles. Comfortable working within Agile delivery environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery/GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal experience ...

principles. Comfortable working within Agile delivery environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery/GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal experience ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

supported by solid software engineering fundamentals (version control, testing, CI/CD). Experience building and operating data pipelines using workflow orchestration frameworks (e.g. Apache Airflow), with a focus on reliability, observability, dependency management, and operational resilience. Experience designing and operating cloud-native data platforms (AWS or Azure preferred ...

with the Lead Data Engineer and partnering with data science, analytics and product teams. Key responsibilities * Build and maintain scalable data pipelines using Databricks, Apache Spark and Delta Lake * Develop and optimise batch and streaming workflows for reliability and performance * Contribute to lakehouse architecture and medallion pattern implementation * Implement ...

skills. Ability to think creatively and propose innovative solutions. To qualify for this role, you must have: Proven experience and knowledge with PySpark and Apache Spark including the fundamentals of how it works. Core experience with AWS, with substantial and mature Azure platform offering. Experience with other cloud platforms ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting tools ...

able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data ...

similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English skills Last ...

Hands‐on experience as a Data Engineer or Data Platform Developer, including direct contributions to production codebases. Expert‐level proficiency in Python, SQL, and Apache Spark for data pipeline development. Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design ...

pipelines and data quality frameworks (rules, thresholds, exception handling). Working knowledge of scheduling/orchestration tools such as Autosys and/or Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift or equivalent ...

Oracle databases. Experience designing and supporting ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling). Working knowledge of Autosys and Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift ...