1 to 25 of 29 Apache Jobs in London

robust way possible! Diverse training opportunities and social benefits (e.g. UK pension schema) What do you offer? Strong hands-on experience working with modern Big Data technologies such as Apache Spark, Trino, Apache Kafka, Apache Hadoop, Apache HBase, Apache Nifi, Apache Airflow, Opensearch Proficiency in cloud-native technologies such as containerization and Kubernetes Strong More ❯

/medical devices preferred but not required) Strong Python programming and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/CD for data pipelines Understanding of data privacy and healthcare compliance (GDPR, HIPAA, ISO More ❯

MySQL Exposure to Docker, Kubernetes, AWS, Helm, Terraform, Vault, Grafana, ELK Stack, New Relic Relevant experience in the maintenance of data APIs and data lake architectures, including experience with Apache Iceberg, Trino/Presto, Clickhouse, Snowflake, BigQuery. Master's degree in Computer Science or Engineering-related field Equal Opportunity Employer As an Equal Opportunity Employer, qualified applicants will receive More ❯

data engineering tasks. Experience building and maintaining web scraping pipelines. Strong SQL skills, with expertise in performance tuning. Strong proficiency with dbt for data transformations. Hands-on experience with Apache Airflow or Prefect. Proficiency with GitHub, GitHub Actions, and CI/CD pipelines. Nice to have: Experience with GCP (BigQuery, Dataflow, Composer, Pub/Sub) or AWS. Familiarity with More ❯

data ecosystem (e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization. PREFERRED QUALIFICATIONS: Solid understanding of cloud infrastructure, particularly AWS, with practical experience using Docker, Kubernetes, and implementing More ❯

a Python Developer with a focus on data platform development Strong expertise in financial markets data (transaction feeds, private banking, asset management, trading platforms, FX) Hands-on experience with Apache Spark for distributed data processing Proficiency with Aurora PostgreSQL Strong working knowledge of AWS cloud services, especially for data engineering and platform builds Experience delivering in complex, data-intensive More ❯

of automation IT WOULD BE NICE FOR THE SENIOR SOFTWARE ENGINEER TO HAVE.... Cloud based experience Microservice architecture or server-less architecture Big Data/Messaging technologies such as Apache Nifi/MiNiFi/Kafka TO BE CONSIDERED.... Please either apply by clicking online or emailing me directly to For further information please call me on . I can More ❯

of automation IT WOULD BE NICE FOR THE SENIOR SOFTWARE ENGINEER TO HAVE. Cloud based experience Microservice architecture or server-less architecture Big Data/Messaging technologies such as Apache Nifi/MiNiFi/Kafka TO BE CONSIDERED. Please either apply by clicking online or emailing me directly to For further information please call me on 07704 152 640. More ❯

of automation IT WOULD BE NICE FOR THE SENIOR SOFTWARE ENGINEER TO HAVE.... Cloud based experience Microservice architecture or server-less architecture Big Data/Messaging technologies such as Apache Nifi/MiNiFi/Kafka TO BE CONSIDERED.... Please either apply by clicking online or emailing me directly to For further information please call me on . I can More ❯

financial services data platform projects Strong expertise in Python for data-intensive systems Deep understanding of financial market data (transaction feeds, asset management systems, trading platforms, FX) Experience with Apache Spark for distributed data processing Hands-on knowledge of Aurora PostgreSQL (or equivalent relational databases) Extensive experience with AWS cloud services for data platform builds Strong stakeholder engagement and More ❯

sharing. Required Skills & Qualifications 3-6 years of experience as a Data Engineer (or similar). Hands-on expertise with: DBT (dbt-core, dbt-databricks adapter, testing & documentation). Apache Airflow (DAG design, operators, scheduling, dependencies). Databricks (Spark, SQL, Delta Lake, job clusters, SQL Warehouses). Strong SQL skills and understanding of data modeling (Kimball, Data Vault, or More ❯

GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). Exposure to CI/CD pipelines, ideally using GitLab CI. Background working with media, marketing, or advertising data. The Opportunity : Work alongside smart, supportive teammates More ❯

GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). ·Exposure to CI/CD pipelines, ideally using GitLab CI. ·Background working with media, marketing, or advertising data. The Opportunity : ·Work alongside smart, supportive teammates More ❯

ideal candidate will lead the delivery of modern data solutions across multiple projects, leveraging Azure and Databricks technologies in an agile environment. Core Requirements Cloud & Data Engineering: Azure, Databricks, Apache Spark, Azure Data Factory, Delta Lake Programming & Querying: Python, SQL (complex, high-performance queries) Data Governance & DevOps: Unity Catalog/Purview, Terraform, Azure DevOps Consulting: Requirements gathering, stakeholder engagement More ❯

data quality, security, and best practices Collaborate with cross-functional teams Implement and manage MLOps capabilities Essential Skills: Advanced Python programming skills Expertise in data engineering tools and frameworks (Apache Flink) Hands-on AWS experience (Serverless, CloudFormation, CDK) Strong understanding of containerization, CI/CD, and DevOps Modern data storage knowledge Sound like you? Please get your CV over More ❯

applications and high proficiency SQL 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. Data Architecture & Modelling: Ability to More ❯

class-leading data and ML platform infrastructure, balancing maintenance with exciting greenfield projects. develop and maintain our real-time model serving infrastructure, utilising technologies such as Kafka, Python, Docker, Apache Flink, Airflow, and Databricks. Actively assist in model development and debugging using tools like PyTorch, Scikit-learn, MLFlow, and Pandas, working with models from gradient boosting classifiers to custom More ❯

data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience with ETL tools and technologies such as Apache Airflow, Informatica, or Talend. Strong understanding of data governance and best practices in data management. Experience with cloud platforms and services such as AWS, Azure, or GCP for deploying … and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP More ❯

to learn new technologies IT WOULD BE NICE FOR THE DATA ENGINEER TO HAVE.... Cloud based architectures Microservice architecture or server-less architecture Messaging/routing technologies such as Apache Nifi/RabbitMQ TO BE CONSIDERED.... Please either apply by clicking online or emailing me directly to For further information please call me on . I can make myself More ❯

integration of software IT WOULD BE NICE FOR THE BIG DATA ENGINEER TO HAVE.... Cloud based architectures Microservice architecture or server-less architecture Messaging/routing technologies such as Apache Nifi/RabbitMQ Experience of DevSecOps automated deployment tools such as Jenkins, Ansible, Docker TO BE CONSIDERED.... Please either apply by clicking online or emailing me directly to For More ❯

Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the More ❯

front-end skills (HTML/CSS/JS/TS, React/Preact) plus PHP/Node.js Experience with WordPress and modern CMS platforms Knowledge of server management (Linux, Apache/Nginx, Docker, AWS) Design awareness and proficiency with Figma/Adobe Creative Suite A problem-solver who thrives at the intersection of code, design, and infrastructure A bit More ❯

stakeholders to gather and understand data requirements. Ensure data quality, performance, and scalability across workflows. Maintain compliance with data governance and security standards. Required Skills Hands-on experience with Apache NiFi and PySpark. Strong understanding of ETL processes and data engineering best practices. If you think you would be a good fit for this role, please apply here. We More ❯

Modelling : Physical, logical, conceptual models; data flow diagrams; ontologies; UML/Visio/Sparx Data Standards : Technical specs, code assurance, championing interoperability Metadata Management : Data catalogues, repositories; tools like Apache Atlas, Hive Metastore, AWS Glue/Datazone Data Design : Data lakes, warehouses, lakehouses, pipelines, meshes, marketplaces If you're passionate about shaping data strategy and architecture in a mission More ❯

Be Doing You'll be a key contributor to the development of a next-generation data platform, with responsibilities including: Designing and implementing scalable data pipelines using Python and Apache Spark Building and orchestrating workflows using AWS services such as Glue , Lambda , S3 , and EMR Serverless Applying best practices in software engineering: CI/CD , version control , automated testing … and modular design Supporting the development of a lakehouse architecture using Apache Iceberg Collaborating with product and business teams to deliver data-driven solutions Embedding observability and quality checks into data workflows Participating in code reviews, pair programming, and architectural discussions Gaining domain knowledge in financial data and sharing insights with the team What They're Looking For Core … for experience with type hints, linters, and testing frameworks like pytest) Solid understanding of data engineering fundamentals: ETL/ELT, schema evolution, batch processing Experience or strong interest in Apache Spark for distributed data processing Familiarity with AWS data tools (e.g., S3, Glue, Lambda, EMR) Strong communication skills and a collaborative mindset Comfortable working in Agile environments and engaging More ❯