1 to 25 of 37 Permanent Apache Jobs in Berkshire

in mentoring junior team members Experience in Oracle/Relational Databases and/or Mongo Experience in GitLab CI/CD Pipelines Knowledge of Apache NiFi Experience in JavaScript/TypeScript & React Experience of Elasticsearch and Kibana Knowledge of Hibernate Proficiency in the use of Atlassian Suite - Bitbucket, Jira More ❯

develop proficiency in backend technologies (e.g., Python with Django) to support data pipeline integrations. Cloud Platforms: Familiarity with AWS or Azure, including services like Apache Airflow, Terraform, or SageMaker. Data Quality Management: Experience with data versioning and quality assurance practices. Automation and CI/CD: Knowledge of build and More ❯

your cloud/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Competence in evaluating and selecting development tools and technologies More ❯

your cloud/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Competence in evaluating and selecting development tools and technologies More ❯

British-born sole UK National with active SC or DV Clearance • Strong Java skills, familiarity with Python • Experience in Linux, Git, CI/CD, Apache NiFi • Knowledge of Oracle, MongoDB, React, Elasticsearch • Familiarity with AWS (EC2, EKS, Fargate, S3, Lambda) If you do not meet all requirements still feel More ❯

Java development with strong Spring Boot expertise. Solid background in building cloud-native applications , particularly using AWS services such as S3, SQS, Kinesis, or Apache Flink. Strong knowledge of stream processing , low-latency systems, and microservice architectures. Demonstrated leadership experience, including mentoring and guiding junior developers. Proficient in designing More ❯

MiFID II or EMIR Experience building real-time applications based on a messaging paradigm Experience building large-scale data processing pipelines (for e.g. using Apache Spark, etc) Experience building Highly Available and High Performance applications Experience of FIX messaging protocol FX Options/Derivatives experience Senior Python Developer More ❯

advantage in database technologies used for analytics: SQL Server, Snowflake, Azure Synapse, Oracle, and Teradata Experienced in ELT orchestration tools: Azure Data Factory, SSIS, Apache Airflow, Informatica, and Talend (nice-to-have) Native-level or Proficient-level English speaker. YOU WANT TO Be part of a team of data More ❯

advantage in database technologies used for analytics: SQL Server, Snowflake, Azure Synapse, Oracle, and Teradata Experienced in ELT orchestration tools: Azure Data Factory, SSIS, Apache Airflow, Informatica, and Talend (nice-to-have) Native-level or Proficient-level English speaker. YOU WANT TO Be part of a team of data More ❯

and storage. Strong programming skills in Python, Java, or Scala . Proficiency in SQL, NoSQL, and time-series databases . Knowledge of orchestration tools (Apache Airflow, Kubernetes). If you are a passionate and experienced Senior Data Engineer seeking a Lead role, or a Lead Data Engineer aiming to More ❯

Strong SQL + Python skills (data-focused) Hands-on experience with Kafka, Terraform, CI/CD Experience with AWS data tools and services Bonus: Apache Superset, fintech/startup experience, interest in payments Get in touch with me for more info at sean.kennedy@harringtonstarr.com More ❯

concepts to non-technical stakeholders. Preferred Skills Experience with insurance platforms such as Guidewire, Duck Creek, or legacy PAS systems. Knowledge of Delta Lake, Apache Spark, and data pipeline orchestration tools. Exposure to Agile delivery methodologies and tools like JIRA, Confluence, or Azure DevOps. Understanding of regulatory data requirements More ❯

concepts to non-technical stakeholders. Preferred Skills: Experience with insurance platforms such as Guidewire, Duck Creek, or legacy PAS systems. Knowledge of Delta Lake, Apache Spark, and data pipeline orchestration tools. Exposure to Agile delivery methodologies and tools like JIRA, Confluence, or Azure DevOps. Understanding of regulatory data requirements More ❯

robust data pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and ETL processes. Apply infrastructure-as-code practices More ❯

TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data More ❯

are familiar with techniques such as Star/Snowflake Schema, Data Vault 2.0, the Medallion pattern. ● Experience with data visualisation tools such as Streamlit, Apache Superset, Lightdash, Power BI, or Tableau. ● Experience working with cloud platforms (AWS, GCP, Azure) and familiarity with infrastructure as code is a plus. If More ❯

systems Strong knowledge of Kubernetes and Kafka Experience with Git, and Deployment Pipelines Having worked with at least one of the following stacks: Hadoop, Apache Spark, Presto AWS Redshift, Azure Synapse or Google BigQuery Experience profiling performance issues in database systems Ability to learn and/or adapt quickly More ❯

Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica). • Proficiency in data integration tools and technologies. • Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a More ❯

Python. Develop real-time streaming features using big data tools such as Spark. SKILLS AND EXPERIENCE Extensive experience using big data tools such as Apache Spark. Experience working in and maintaining an GCP database. Strong Python coding background. Good knowledge of working with SQL. THE BENEFITS Generous Holiday plan. More ❯

salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large Microsoft Partner client requires a Senior Data Analytics Sales Consultant to help More ❯

salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large Microsoft Partner client requires a Senior Data Analytics Sales Consultant to help More ❯

feel excited about this role, would still encourage you to apply. Tech Stack: PHP (Laminas & Mezzio frameworks but not essential) JavaScript AWS (CloudFormation), Cloudflare, Apache, Varnish CI/CD Why Join? Hybrid working (office-based twice weekly) 25 days holiday + year-end closure Flexible hours and remote working More ❯

Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance Proficiency in SQL and familiarity with Azure DevOps Pipelines and Apache Spark Excellent stakeholder engagement and communication skills Relevant certifications (e.g., Azure Solutions Architect Expert or TOGAF) a plus Must be eligible for SC Clearance More ❯

Rust) you will: Design and build a cloud-native analytical database system optimised for sparse, wide, and multimodal logs. Work with technologies like Rust, Apache Arrow, and Datafusion to build scalable, low-latency systems. Collaborate on every part of the stack—from data ingestion and indexing to query planning More ❯

Rust) you will: Design and build a cloud-native analytical database system optimised for sparse, wide, and multimodal logs. Work with technologies like Rust, Apache Arrow, and Datafusion to build scalable, low-latency systems. Collaborate on every part of the stack—from data ingestion and indexing to query planning More ❯