1 to 25 of 75 Remote/Hybrid Apache Jobs in London

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 ...

wider stakeholders. Technical Environment Experience with some of the following technologies would be beneficial: Python SQL Cloud platforms – AWS, Azure or GCP Databricks Apache Spark/PySpark Kafka/event-driven architectures Airflow dbt Git/GitHub CI/CD Infrastructure as Code Modern data platforms and distributed processing ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding ...

improvements.Experience with modern data architectures, including cloud-based and distributed systems.Strong proficiency in SQL and Python.Experience with data engineering and pipeline technologies such as Apache Airflow and Spark.Experience working with cloud platforms, particularly AWS and Azure.Knowledge of big data technologies and distributed data processing.Understanding of data analytics and visualisation.Awareness ...

React, Node) using Webpack, Typescript, and GitHub.Experience with Docker and/or Kubernetes and containerized deployments (AKS).Experience with workflow orchestration tools such as Apache Airflow or n8n.Experience of code quality, test, CI/CD and package managers such as Jest, Lint, Brigade, and Helm.Experience with Kafka and event ...

code reviews.Strong understanding of modern software engineering and DevOps practices.Experience working within Agile delivery methodologies.Deep expertise in the Databricks Data Intelligence Platform, including Apache Spark, PySpark, Delta Lake, Unity Catalog, Databricks SQL, Lakeflow, Mosaic AI ,AI/BI Genie and Agent Bricks. Strong experience designing and delivering production-grade ...

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 ...

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 ...

data pipelines, orchestration, and automation; Solid software engineering fundamentals, including version control, testing, and CI/CD; Experience with workflow orchestration frameworks such as Apache Airflow; Experience with cloud-native data platforms, preferably AWS or Azure; Experience with enterprise data warehouses, preferably Snowflake; Experience with performance tuning, cost controls ...

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 ...

platformsAdvanced Python and SQL skills, with experience in modern engineering practices such as CI/CD and TDDExperience with big data frameworks such as Apache Spark or similar technologiesSolid understanding of data modelling, data warehousing, OLTP and data lake architecturesExperience working with cloud ecosystems such as AWS, Azure ...

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.QualificationsHands-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, and schema normalization ...

Redshift.Experience with data transformation tools such as dbt, or Dataflow.Understanding of data modeling techniques.Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset.Understanding of software engineering best practices and their application to data processing systems.Knowledge of Python, Java or Flink is a plus, but not a necessity.Strong ...

with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset. Understanding of software engineering best practices and their application to data processing systems. Knowledge of Python, Java or Flink is a plus ...

using Databricks REST APIs, Prometheus, or Azure Monitor.• Maintain best practices for data engineering performance, testing, and documentation.Technical Skills Required• Strong proficiency with Databricks, Apache Spark (SQL, PySpark, Scala), and Delta Lake.• Deep understanding of Spark execution plans, shuffle optimization, and data partitioning strategies.• Experience tuning job configurations (e.g. ...

knowledge of optimisation techniques for large‐scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands‐on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow … cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with ...

Skills MUST HAVE: Strong hands‐on experience with Quantexa implementation and development. Proven experience building and supporting big data platforms . Advanced knowledge of Apache Spark/PySpark . Strong programming skills in Scala and/or Python . Expertise in SQL and large-scale data modelling. Strong cloud ...

decisions, documentation and continuous improvement initiatives. Key Skills & Experience Proven experience as a Data Engineer within production environments. Strong hands-on experience with Databricks, Apache Spark, Delta Lake, Python and SQL. Experience building and supporting scalable ETL/ELT pipelines. Strong understanding of distributed data processing and data modelling. ...

scale data pipelines, with a strong grasp of data structuring for performance and efficiencyHands-on experience with Airflow for orchestrating complex data workflows, and Apache Iceberg for table format management at scaleExtensive AWS experience including EKS, Docker, and Kubernetes; comfortable owning infrastructure deployment and scaling decisionsCI/CD fluency ...

/Java and/or Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools ...

/Java and/or Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and "infrastructure as a code" tools ...