1 to 25 of 31 Permanent Apache Jobs in Slough

up and learn new technologies and frameworks Nice to have: Knowledge of databases, SQL Familiarity with Boost ASIO Familiarity with data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers, Flatbuffers Contra Experience with gRPC, http/REST and Websocket protocols Experience with Google Cloud/AWS and More ❯

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 ❯

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 ❯

. 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 ❯

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 ❯

Qualifications 5+ years of experience in Data Engineering, with a strong background in building data pipelines at scale. Proficiency with modern data technologies (e.g Apache Airflow, Spark, Kafka, Snowflake, or similar). Strong SQL skills and experience with cloud databases and data warehouses (AWS, GCP, or Azure ecosystems). 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 ❯

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 ❯

ll Bring: Strong experience in AWS cloud platform architecture and solving complex business issues. Proficiency in Java programming and Linux, with desirable knowledge of Apache NiFi, Node.js, JSON/XML, Jenkins, Maven, BitBucket, or JIRA. Hands-on experience with scripting (Shell, Bash, Python) and a solid understanding of Linux 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 ❯

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 ❯

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 £30-35K + benefits. Apply now for immediate consideration and interview More ❯

Databricks, ADF, Azure). Experience in backlog management, specifying acceptance criteria, and balancing work types. Ability to work within Azure cloud environments and tools (Apache Spark, Azure Data Factory, Azure Data Bricks, PowerBI, Terraform). Familiarity with risk, security, and architecture standards in compliance-driven environments. More ❯