1 to 25 of 27 Permanent Apache Jobs in the Thames Valley

SDLC automation tools like JIRA, Bamboo, and Ansible is a plus Qualifications/Experience: Strong programming skills in Java; experience with Spring, Hibernate, and Apache Ignite is a plus Ability to write complex SQL queries Experience with Fidessa Equities platform ETP/CTAC is desirable Unix/Linux command 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 ❯

to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-based database services (Snowflake). Knowledge of data warehousing, orchestration and pipeline technologies (Apache Airflow/Kafka, Azure DataFactory etc.). Experience with DBT for modelling Server administration and networking fundamentals More ❯

. Experience with CI/CD pipelines and version control. Proficiency in data visualisation tools (e.g. Tableau, PowerBI). Exposure to tools like DBT, Apache Airflow, Docker. Experience working with large-scale datasets (terabyte-level or higher). Excellent problem-solving capabilities. Strong communication and collaboration skills. Proficiency in More ❯

in Next.js Experience with testing frameworks like Jest, Cypress, or React Testing Library. Experience with authentication strategies using OAuth, JWT, or Cognito Familiarity with Apache Spark/Flink for real-time data processing is an advantage. Hands-on experience with CI/CD tools Commercial awareness and knowledge of 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 ❯

beneficial for interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure as code Orchestration & Transformation: Apache Airflow dbt CRM & Marketing Tools: Braze (preferred) Familiarity with other CRM/marketing automation tools such as Iterable or Salesforce Marketing Cloud is a 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 ❯

related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and More ❯

field. Proficiency in programming languages such as Python, Spark, SQL. Strong experience with SQL databases. Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF). Experience with cloud platforms (Azure preferred) and related data services. There’s no place quite like BFS and we’re proud More ❯

field. Proficiency in programming languages such as Python, Spark, SQL. Strong experience with SQL databases. Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF). Experience with cloud platforms (Azure preferred) and related data services. There's no place quite like BFS and we're proud More ❯

an on-call rotation Requirements: Experience using the AWS EC2 web console and APIs. Deep understanding of HTTP protocol, including web security, and troubleshooting. Apache or Nginx web server administration and configuration experience. Linux system administration experience (Red Hat, Rocky, Alma, Debian, Ubuntu, et. al.) Experience maintaining production RDBMS 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 ❯

BigQuery , Cloud Storage, Dataflow, Pub/Sub, etc.). Proficient in SQL and Python. Experience with data modeling, ETL tools, and workflow orchestration (e.g., Apache Airflow, Cloud Composer). Familiarity with CI/CD practices and version control (e.g., Git). Good understanding of data governance and security best More ❯

efficient and performant queries. • Skilled in optimizing data ingestion and query performance for MSSQL or other RDBMS. • Familiar with data processing frameworks such as Apache Spark. • Highly analytical and tenacious in solving complex problems. More ❯

efficient and performant queries. • Skilled in optimizing data ingestion and query performance for MSSQL or other RDBMS. • Familiar with data processing frameworks such as Apache Spark. • Highly analytical and tenacious in solving complex problems. More ❯

efficient and performant queries. • Skilled in optimizing data ingestion and query performance for MSSQL or other RDBMS. • Familiar with data processing frameworks such as Apache Spark. • Highly analytical and tenacious in solving complex problems. More ❯

efficient and performant queries. • Skilled in optimizing data ingestion and query performance for MSSQL or other RDBMS. • Familiar with data processing frameworks such as Apache Spark. • Highly analytical and tenacious in solving complex problems. More ❯

Skills: x5 + experience with Python programming for data engineering tasks Strong proficiency in SQL and database management Hands-on experience with Databricks and Apache Spark Familiarity with Azure cloud platform and related services Knowledge of data security best practices and compliance standards Excellent problem-solving and communication skills 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 ❯

more hands on, & build up their software experience. Key Skills: o Windows support experience o Databases/basic SQL o Web servers - such as Apache experience is helpful o Remote Access Tool Starting salary in the region £30-35K + benefits. Apply now for immediate consideration and interview More ❯

more hands on, & build up their software experience. Key Skills: o Windows support experience o Databases/basic SQL o Web servers - such as Apache experience is helpful o Remote Access Tool Starting salary in the region £35-40K + benefits. Apply now for immediate consideration and interview More ❯

data services. DataOps Knowledge: Experienced with CI/CD for data workflows, version control (e.g., Git), and automation in data engineering. Desirable: Experience with Apache Spark Familiarity with machine learning frameworks and libraries Understanding of data governance and compliance Strong problem-solving and analytical skills Excellent communication and interpersonal More ❯

Contract: 6-month sign-on Interview process: 2 stages twentyAI’s customer is building the next generation of their data platform, with Databricks and Apache Spark at the core. A PoC is already in place — now they’re looking for someone who’s done this before to lead the … Exposure to AWS-based environments Familiarity with financial/trading systems and working in regulated industries (e.g., banking, commodities) Tech Environment: Primary Platform: Databricks, Apache Spark Other Tech: DBT, Airflow, Python, PySpark Cloud: AWS (preferred), private cloud storage Data Sources: Financial/trading systems More ❯