26 to 45 of 45 Apache Jobs in Central London

Strong understanding of cloud-based data solutions. Experience with the tools we work with, or other equivalent ones (dbt, BigQuery, Stitch, Segment, Fivetran, Metabase, Apache Airflow). Education A bachelor’s degree in a relevant field such as Computer Science, Information Technology, Data Science, Engineering (e.g., Computer Science Engineering More ❯

in ETL, data modelling, and Azure Data Services. Experience in designing and implementing data pipelines, data lakes, and data warehouses. Hands-on experience with Apache Spark and bonus points for Microsoft Fabric Any certifications are a bonus. Benefits: Competitive base salary Hybrid work once a week into their Central More ❯

in ETL, data modelling, and Azure Data Services. Experience in designing and implementing data pipelines, data lakes, and data warehouses. Hands-on experience with Apache Spark and bonus points for Microsoft Fabric Any certifications are a bonus. Hybrid work once a week into their Central London office Learning and More ❯

design abilities Strong hands-on experience with React.js, AngularJS, Node.js, TypeScript, HTML5, CSS Familiar with deploying web applications on web servers like NGINX or Apache Experience with agile/scrum methodology including tools like Jira Experience with using design tools such as Figma, Axure, or Sketch Experience with Kubernetes More ❯

for complex querying and performance tuning. ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. More ❯

cloud integration Guide and mentor technical teams on best practices Requirements: Strong experience as a Solution Architect in Databricks and cloud platforms Expertise in Apache Spark, Delta Lake, and data lakehouse architectures Hands-on with Azure, AWS, or GCP (Azure preferred) Excellent client-facing and stakeholder management skills Why More ❯

experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a More ❯

TCP/IP, DNS management, and troubleshooting network issues. Experience with BGP/OSPF and Juniper technologies is highly desirable. Web tech (Nginx/Apache), containerisation (Docker), cloud (AWS a bonus), and basic DB admin - MySQL or Galera is ideal Bonus: any experience in audio streaming or media platforms More ❯

technology or AI company. Deep expertise in open-source software licensing , particularly copyleft licenses like AGPL-3.0, and permissive licenses such as MIT and Apache 2.0. Strong command of intellectual property law, including trademarks, copyrights, and trade secrets. Proven experience with data privacy laws (GDPR, CCPA) and drafting privacy More ❯

in consumer-facing or marketplace environments. Strong knowledge of distributed systems and modern data ecosystems, with hands-on experience using technologies such as Databricks, Apache Spark, Apache Kafka, and DBT. Proven success in building and managing data platforms supporting both batch and real-time processing architectures. Deep understanding More ❯

advanced expertise in Google Cloud data services: Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Hands-on experience with orchestration tools like Apache Airflow or Cloud Composer. Hands-on experience with one or more of the following GCP data processing services: Dataflow (Apache Beam), Dataproc (Apache Spark/Hadoop), or Composer (Apache Airflow). Proficiency in at least one scripting/programming language (e.g., Python, Java, Scala) for data manipulation and pipeline development. Scala is mandated in some cases. Deep understanding of data lakehouse design, event-driven architecture, and hybrid cloud data strategies. Strong More ❯

analytics. Define and drive the long-term architecture and data strategy in alignment with business goals. Own orchestration of ETL/ELT workflows using Apache Airflow , including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data … enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata More ❯

across complex data and cloud engineering projects Designing and delivering distributed solutions on an AWS-centric stack, with open-source flexibility Working with Databricks, Apache Iceberg, and Kubernetes in a cloud-agnostic environment Guiding architecture and implementation of large-scale data pipelines for structured and unstructured data Steering direction … Proven delivery of big data solutions—not necessarily at FAANG scale, but managing high-volume, complex data (structured/unstructured) Experience working with Databricks, Apache Iceberg, or similar modern data platforms Experience of building software environments from the ground up, setting best practice and standards Experience leading and mentoring More ❯

Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/… in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred More ❯

Senior Data Engineer/Data Analytics Engineer - Full Remote Working from anywhere in the UK SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active users on some of the platforms they developed; -Cutting … ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing solutions … ensuring data integrity through rigorous testing and validation -Lead, plan and execute workflow migration and data orchestration using Apache Airflow -Focus on data engineering and data analytics Requirements: -5+ years of experience in SQL -5+ years of development in Python -MUST have strong experience in Apache More ❯

on complex data and cloud engineering projects Designing and delivering distributed solutions on an AWS-centric stack, with open-source flexibility Working with Databricks, Apache Iceberg, and Kubernetes in a cloud-agnostic environment Guiding architecture and implementation of large-scale data pipelines for structured and unstructured data Steering software … cloud deployments (especially AWS), and orchestration technologies Proven delivery of big data solutions—managing high-volume, complex data (structured/unstructured) Experience with Databricks, Apache Iceberg, or similar modern data platforms Experience building software environments from scratch, setting standards and best practices Experience leading and mentoring teams Startup/ More ❯

Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/… years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable More ❯

Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/… years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable More ❯

Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/… years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing More ❯

of experience leading and mentoring a technical team, managing projects, aligning with business needs, and collaborating with cross-functional teams in a dynamic environment. Apache Spark or Apache Flink experience. 5+ years of hands-on experience designing, building, and optimising scalable and highly available backend systems. Strong ability More ❯