1 to 25 of 177 Remote Apache Jobs in London

Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset … Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my More ❯

warehouse solutions for BI and 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 flows. Champion best practices in … Proven experience designing and delivering 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 management. Experience with cloud platforms More ❯

fully documented and meet appropriate standards for security, resilience and operational support. Skills & Experience Required Essential: Hands-on experience developing data pipelines in Databricks, with a strong understanding of Apache Spark and Delta Lake. Proficient in Python for data transformation and automation tasks. Solid understanding of AWS services, especially S3, Transfer Family, IAM, and VPC networking. Experience integrating data More ❯

solutions aligned with business objectives. Key Responsibilities Data Pipeline Development Architect, implement and maintain real-time and batch data pipelines to handle large datasets efficiently. Employ frameworks such as Apache Spark, Databricks, Snowflake or Airflow to automate ingestion, transformation, and delivery. Data Integration & Transformation Work with Data Analysts to understand source-to-target mappings and quality requirements. Build ETL … security measures (RBAC, encryption) and ensure regulatory compliance (GDPR). Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory, Fabric), GCP (BigQuery, Dataflow). Data Modelling & Storage: Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional More ❯

warehouse solutions for BI and 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 flows. Champion best practices in … Proven experience designing and delivering 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 management. Experience with cloud platforms More ❯

warehouse solutions for BI and 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 flows. Champion best practices in … Proven experience designing and delivering 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 management. Experience with cloud platforms More ❯

warehouse solutions for BI and 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 flows. Champion best practices in … Proven experience designing and delivering 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 management. Experience with cloud platforms More ❯

award-winning trading and surveillance platform, including TT Trade Surveillance , which leverages machine learning to detect trading behavior that may trigger regulatory inquiries. Our tech stack includes Java, Python, Apache Spark (on Serverless EMR), AWS Lambda, DynamoDB, S3, SNS/SQS , and other cloud-native services. As part of a high-impact engineering team, you'll help design and … problems at scale in a domain where precision, performance, and reliability are critical. What Will You be Involved With? Design and build scalable, distributed systems using Java , Python , and Apache Spark Develop and optimize Spark jobs on AWS Serverless EMR for processing large-scale time-series datasets Build event-driven and batch processing workflows using Lambda , SNS/SQS … to the Table? Strong backend software engineering experience, ideally with distributed systems and large-scale data processing Strong programming skills in Java (multithreading, concurrency, performance tuning) Deep experience with Apache Spark and Spark Streaming Proficiency with AWS services , including Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on with Python , especially in More ❯

warehouse solutions for BI and 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 flows. Champion best practices in … Proven experience designing and delivering 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 management. Experience with cloud platforms More ❯

leading data projects in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL, Python, 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 and continuous deployment (CI/CD More ❯

modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/ More ❯

modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/ More ❯

frameworks such as Boost.Test, Google Test, etc. Nice to Haves: Experience with Azure services for managing GPT pipelines and multi-cloud infrastructure. Familiarity with big data technologies such as Apache Spark, Kafka, and MSK for large-scale data processing. Experience with boost libraries (asio, beast). Advanced experience in cost optimization strategies for cloud infrastructure and database performance tuning. More ❯

or a related field, or equivalent experience. Experience : Advanced experience in test automation development using tools like Selenium, JUnit, TestNG, Cypress, etc. Familiarity with performance testing tools such as Apache Bench, JMeter, or LoadRunner, or modern alternatives like K6, Gatling, Locust. Familiarity with BDD tools like Cucumber or SpecFlow. Skills : Proficiency in programming languages such as Java, Python, or More ❯

support market surveillance and compliance efforts. The platform leverages advanced analytics and machine learning to identify trading behaviors that could trigger regulatory attention. The tech stack includes Java, Python, Apache Spark (on Serverless EMR), AWS Lambda, DynamoDB, S3, SNS/SQS, and other cloud-native tools. You’ll work alongside a high-impact engineering team to build fault-tolerant … data pipelines and services that process massive time-series datasets in both real-time and batch modes. Key Responsibilities: Design and build scalable, distributed systems using Java, Python, and Apache Spark Develop and optimize Spark jobs on AWS Serverless EMR for large-scale time-series processing Build event-driven and batch workflows using AWS Lambda, SNS/SQS, and … and non-technical stakeholders Qualifications: Strong backend software development experience, especially in distributed systems and large-scale data processing Advanced Java programming skills (multithreading, concurrency, performance tuning) Expertise in Apache Spark and Spark Streaming Proficiency with AWS services such as Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on Python experience, particularly More ❯

In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a … significant impact, we encourage you to apply! Job Responsibilities ETL/ELT Pipeline Development: Design, develop, and optimize efficient and scalable ETL/ELT pipelines using Python, PySpark, and Apache Airflow. Implement batch and real-time data processing solutions using Apache Spark. Ensure data quality, governance, and security throughout the data lifecycle. Cloud Data Engineering: Manage and optimize … effectiveness. Implement and maintain CI/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Develop and optimize large-scale data processing pipelines using Apache Spark and PySpark. Implement data partitioning, caching, and performance tuning techniques to enhance Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and More ❯

support market surveillance and compliance efforts. The platform leverages advanced analytics and machine learning to identify trading behaviors that could trigger regulatory attention. The tech stack includes Java, Python, Apache Spark (on Serverless EMR), AWS Lambda, DynamoDB, S3, SNS/SQS, and other cloud-native tools. You’ll work alongside a high-impact engineering team to build fault-tolerant … data pipelines and services that process massive time-series datasets in both real-time and batch modes. Key Responsibilities: Design and build scalable, distributed systems using Java, Python, and Apache Spark Develop and optimize Spark jobs on AWS Serverless EMR for large-scale time-series processing Build event-driven and batch workflows using AWS Lambda, SNS/SQS, and … and non-technical stakeholders Qualifications: Strong backend software development experience, especially in distributed systems and large-scale data processing Advanced Java programming skills (multithreading, concurrency, performance tuning) Expertise in Apache Spark and Spark Streaming Proficiency with AWS services such as Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on Python experience, particularly More ❯

work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. Most are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship alone or in collaboration with a Project Manager. Additionally, at this seniority level … no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access … year , depending on your assessed seniority level during the selection process. About DATAPAO At DATAPAO, we are delivery partners and the preferred training provider for Databricks, the creators of Apache Spark. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries More ❯

and Lakehouse Design: Strong data modelling, design, and integration expertise. Data Mesh Architectures: In-depth understanding of data mesh architectures. Technical Proficiency: Proficient in dbt, SQL, Python/Java, Apache Spark, Trino, Apache Airflow, and Astro. Cloud Technologies: Awareness and experience with cloud technologies, particularly AWS. Analytical Skills: Excellent problem-solving and analytical skills with attention to detail. More ❯

testing methodologies Preferred: Familiarity with PostgreSQL and Snowflake Preferred: Familiarit y with Web Frameworks such as Django, Flask or FastAPI Preferred: Familiarit y with event streaming platforms such as Apache Kafka Preferred: Familiarity with data pipeline platforms such as Apache Airflow Preferred: Familiarity with Java Preferred: Experience in one or more relevant financial areas (market data, order management More ❯

Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DevOps experience building and deploying using Terraform Nice to Have: DBT Data Modelling Data Vault Apache Airflow Benefits: Up to 10% Bonus Up to 14% Pensions Contribution 29 Days Annual Leave + Bank Holidays Free Company Shares Interviews ongoing don't miss your chance to More ❯

Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DevOps experience building and deploying using Terraform Nice to Have: DBT Data Modelling Data Vault Apache Airflow Benefits: Up to 10% Bonus Up to 14% Pensions Contribution 29 Days Annual Leave + Bank Holidays Free Company Shares Interviews ongoing don't miss your chance to More ❯

Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DevOps experience building and deploying using Terraform Nice to Have: DBT Data Modelling Data Vault Apache Airflow Benefits: Up to 10% Bonus Up to 14% Pensions Contribution 29 Days Annual Leave + Bank Holidays Free Company Shares Interviews ongoing don't miss your chance to More ❯

AWS or Azure) for deploying and scaling data systems. Highly desired experience with Azure, particularly Lakehouse and Eventhouse architectures. Experience with relevant infrastructure and tools including NATS, Power BI, Apache Spark/Databricks, and PySpark. Hands-on experience with data warehousing methodologies and optimization libraries (e.g., OR-Tools). Experience with log analysis, forensic debugging, and system performance tuning. More ❯

industries) on some of our most complex projects - individually or by leading small delivery teams. Our projects are fast-paced, typically 2 to 4 months long, and primarily use Apache Spark/Databricks on AWS/Azure. You will manage customer relationships either alone or with a Project Manager, and support our pre-sales, mentoring, and hiring efforts. What More ❯