25 of 25 Apache Jobs in London

data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. ...

skills and understanding of modern data engineering principles. Desirable Skills Python and PySpark development. AWS services including EMR, S3, Lambda, Athena, and Redshift. Apache Spark and large-scale batch processing. Terraform, CI/CD pipelines, and Infrastructure as Code. Git/GitLab and modern software development practices. API integration ...

Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse architectures. Familiarity with DevOps practices, CI/CD pipelines, and infrastructure ...

Collaborate with senior developers and quantitative teams on new analytics capabilities Participate in debugging, testing, and production support activities Technology Environment Python Databricks/Apache Spark SQL Pandas/NumPy Git REST APIs Cloud technologies (Azure or AWS) Numerix (or equivalent pricing/risk platform) Jupyter/notebook-based ...

maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: 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 ...

Responsibilities Pipeline Development: Design, develop, and maintain robust end-to-end data pipelines and orchestration workflows using Python , Apache Airflow , and Cloud Composer on GCP. Data Modernization: Bridge the gap between legacy/on-premise database environments and modern cloud architectures, ensuring seamless data ingestion and migration. Optimization & Performance ...

processin g.Cloud Pub/Su b: For real-time messaging and event ingestio n.Cloud Storag e: For scalable and durable object storag e.Cloud Composer (Apache Airflow ): For workflow orchestration and pipeline managemen t.Cloud Datapro c: For managed Hadoop and Spark clusters (good to have ).Cloud SQL/Cloud Spanner ...

understand where traditional patterns remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps ...

Core Java Spring Boot frameworks Proven experience building distributed backend systems Hands-on experience with Kafka (or similar streaming platforms) Experience with Scala and Apache Spark for data processing Integration withbackend services such as: PostgreSQL Redis S3 (or equivalent object storage) Expertise in modern engineering practices, including: Continuous delivery ...

strong focus on scalability, resilience, and performance. Develop and optimise scalable data pipelines , supporting both batch and streaming workloads, using technologies such as Apache Spark . Work extensively with data technologies , leveraging Python and SQL to deliver high-quality analytical and data-driven solutions. Lead the design and delivery ...

internal knowledge Competencies and Behaviours: 3+ years experience in data platform engineering, cloud engineering, or similar roles Strong hands-on experience with Databricks, including Apache Spark, Delta Lake, Workflows Proven experience designing and deploying data platforms on AWS and/or Azure (e.g. ADLS, S3, VNet/ ...

Experience with data governance frameworks, metadata management, and regulatory compliance It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship ...

data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

large-scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward Financial ...

data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

work on a Big Data Project in the finance sector. Required Experience: Java Big Data experience On-premises cluster experience Databases Kubernetes Kafka Apache Spark Preffered Experience: Finance sector experience ...

work on a Big Data Project in the finance sector. Required Experience: Java Big Data experience On-premises cluster experience Databases Kubernetes Kafka Apache Spark Preffered Experience: Finance sector experience ...

models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows. Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments. … closely related infrastructure role. Strong proficiency in Python for ML pipeline development, tooling, and automation. Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow. Experience with model registries and experiment tracking platforms (MLflow preferred). Experience deploying and operating ML workloads on AWS (Batch ...

subscription platforms, ad tech, and social media. Proven ability to automate and optimise data workflows , using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to ensure timely and reliable delivery of data. Experience building robust data models and reporting layers to support performance dashboards, user engagement analytics … hands-on experience in a data engineering role. Tools & Technologies : Databases : Proficient in SQL databases. Workflow Management Tools : Experience with orchestration platforms such as Apache Airflow . Programming Languages : Skilled in one or more of the following languages, i.e.: Python , Java , Go. Cloud Infrastructure : Strong understanding of cloud infrastructure ...

Design, build, and maintain cloud-based infrastructure using AWS Develop and manage Infrastructure as Code using Terraform Support and optimise data processing pipelines using Apache Spark and Airflow Collaborate with cross-functional teams to deliver secure and scalable solutions Implement CI/CD pipelines using GitLab Containerise applications … Notebooks for data exploration and development Key Skills & Experience Strong experience with AWS services Expertise in Terraform (Infrastructure as Code) Hands-on experience with: Apache Spark Python Apache Airflow Docker GitLab CI/CD Experience with security scanning tools such as: Trivy Trend Micro Wiz (or similar) Knowledge ...

will be undertaking a monumental Transformation to unlock organisational pace and Data agility, moving to a scalable Cloud Data architecture centred around AWS Glue (Apache Spark) & Apache Airflow, with a key focus on re-engineering numerous complex Data pipelines to the new framework by leveraging Agentic … code generation in regulated environments Strong hands-on experience with AWS ecosystem: AWS Glue, S3, and related data platforms (e.g. Snowflake) Strong experience with Apache Airflow and DAG-based orchestration Experience designing configuration-driven frameworks: Using YAML or JSON Experience building automated testing for data pipelines: Functional equivalence testing ...

environments Strong experience designing large-scale, cloud-based data platforms Deep expertise in AWS services, including EC2, S3, RDS, Lambda, Redshift Proven experience with Apache Flink and real-time streaming architectures Strong background in: Data modelling ETL/ELT processes Data warehousing and distributed systems Experience leading, mentoring …/security-focused environments Strong understanding of data governance, standards, and architecture frameworks Desirable Skills Experience with Azure or GCP Knowledge of Scala and Apache Spark Familiarity with DevOps practices and cloud-native delivery models Experience working alongside cyber security teams on secure systems Security Requirements Must currently hold ...

machine learning workflows at scale. As a Senior Data Engineer, you will design, build and operate large-scale batch data pipelines using Scala and Apache Spark. Working alongside Machine Learning Engineers, Researchers and Platform Engineers, you will help develop the infrastructure and tooling required to process vast datasets … scalable systems and operating them in production environments. You'll bring: Strong commercial experience developing applications and data platforms using Scala. Deep expertise with Apache Spark and distributed data processing. Proven experience designing, building and supporting production-grade data pipelines. Strong understanding of software engineering principles, testing and operational ...

Warehouses. Design and oversee ingestion frameworks for enterprise data sources, including: Microsoft SQL Server (on-premises and Azure SQL) Oracle Databases Develop and optimize Apache Spark workloads using PySpark or Scala, ensuring performance, scalability, and operational efficiency. Assess existing or partially completed data platform implementations and provide remediation, optimization … integration with Databricks SQL Warehouses Experience integrating enterprise data sources such as: Microsoft SQL Server (on-premises and Azure SQL) Oracle Databases Strong Apache Spark expertise using PySpark and/or Scala, including performance tuning, partitioning strategies, and workload orchestration. Experience evaluating and remediating incomplete, underperforming, or legacy data ...

Senior Data Engineer | Python | Airbyte | Apache | BigQuery | EducationTech | Remote, London | £70k Looking to help shape Data Strategy for a scaling Tech-for-Good business I'm partnered with a AI-first data and analytics platform built for schools, multi-academy trusts and education groups. Their technology connects fragmented school … flexible work arrangements across the UK.Unfortunately we cannot offer sponsorship at this time.Please contact me at to discuss further! Senior Data Engineer | Python | Airbyte | Apache | BigQuery | EducationTech | Remote, London ...