1 to 25 of 41 Permanent Apache Jobs in the UK

experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data

experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data

native solutions that support analytics, automation, and digital transformation. Data Engineering, Full Stack & Platform Development Design and implement scalable data pipelines using tools like Apache Spark, Airflow, or dbt.Build and maintain data lakes, warehouses, and real-time streaming solutions. Develop APIs and microservices to expose data securely and efficiently.

have strong Python backend software engineer skills You have experience working with large data sets You have experience of using PySpark and ideally also Apache Spark You believe in automating wherever possible You're a collaborative problem solver with great communication skills Other technology in the stack includes: FastAPI

have strong Python backend software engineer skills You have experience working with large data sets You have experience of using PySpark and ideally also Apache Spark You believe in automating wherever possible You're a collaborative problem solver with great communication skills Other technology in the stack includes: FastAPI

Charity Volunteer Days Cycle to work scheme And More.. DATA ENGINEER - ESSTENTIAL SKILLS Proven experience building data pipelines using Databricks . Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake

/or Azure (Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise in technologies like Apache Airflow, Glue, Kafka, Informatica, EventBridge etc. Industrial Data Integration:Familiarity with OT data schema originating from OSIsoft PI, SCADA, MES, and Historian systems. Information Modeling

performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data frameworks (e.g. Apache Spark, Hadoop). Strong knowledge of data governance, security, and compliance. Ability to lead technical projects and mentor junior engineers. Excellent problem-solving skills

strong plus Technical Skills: • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL) • Familiarity with data pipeline and workflow management tools (e.g., Apache Airflow) • Experience with programming languages such as Python, Java, or Scala. Python is highly preferred • Basic understanding of cloud platforms and services (e.g.

code 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 Excellent problem-solving skills and attention to detail Inclusive and curious, continuously

working within Agile/SCRUM teams Experience mentoring junior developers Knowledge of Oracle/relational databases, MongoDB, and GitLab CI/CD Familiarity with Apache NiFi, JavaScript/TypeScript, and React Experience with Elasticsearch, Kibana, Hibernate, and the Atlassian suite (Bitbucket, Jira, Confluence) Desirable; Experience with JSF (PrimeFaces) Knowledge

compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/

Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). Understanding of data governance, security, and compliance best practices. Strong problem-solving skills and experience working in agile environments. Desirable: Experience with

Glue, EMR, Sagemaker, Redshift, Aurora and Snowflake Building data processing and analytics pipelines as code, using Python, SQL, PySpark, spark, CloudFormation, lambda, step functions, Apache Airflow Monitoring and reporting on the data platform performance, usage and security Designing and applying security and access control architectures to secure sensitive data

Glue, EMR, Sagemaker, Redshift, Aurora and Snowflake Building data processing and analytics pipelines as code, using Python, SQL, PySpark, spark, CloudFormation, lambda, step functions, Apache Airflow Monitoring and reporting on the data platform performance, usage and security Designing and applying security and access control architectures to secure sensitive data

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

development lifecycle from requirements to deployment Tech Stack Includes: Java, Python, Linux, Git, JUnit, GitLab CI/CD, Oracle, MongoDB, JavaScript/TypeScript, React, Apache NiFi, Elasticsearch, Kibana, AWS, Hibernate, Atlassian Suite What's on Offer: Hybrid working and flexible schedules (4xFlex) Ongoing training and career development Exciting projects

version control. Experience with Agile/SCRUM. Database experience (Oracle, relational, and/or MongoDB). CI/CD pipelines (GitLab). Familiarity with Apache NiFi, Hibernate, Elasticsearch, and Kibana. Front-end experience with JavaScript/TypeScript & React. Proficiency with Atlassian Suite (Jira, Confluence, Bitbucket). Experience mentoring junior

Code tools Experience with NoSQL databases (e.g., MongoDB) or SQL (e.g., Postgres) Understanding of web standards, accessibility and development best practice Experience with Apache NiFi Bonus Skills Microservices in C# Integrating LLMs (e.g., LangChain, Vercel AI) Experience using the (url removed) Design System and Nunjucks What You'll Love

also have Experience developing or using AI applications Experience with NoSQL databases (e.g. MongoDB). Experience with big data processing frameworks (e.g. Apache Spark). Knowledge of Large Language Model (LLM) integration, Retrieval-Augmented Generation (RAG), or Agentic AI frameworks. Experience with high-performance computing (HPC) environments (e.g. SLURM

architectural strategies, blueprints for hybrid and cloud-native solutions ELT/ETL Frameworks & Pipelines Essential Develop robust ELT/ETL pipelines using tools like Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect. Desirable Optimize data transformations for performance, reusability, and modular design (e.g., using SQL/

kubernetes) Experience with Key value stores Experience in git and basic Unix Commands You might also have (Desirable) Experience with large data processing technologies (Apache Spark) Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance

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

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

Required Education & Experience: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. Familiarity with performance testing tools such as Apache Bench, JMeter, LoadRunner , or modern alternatives like K6, Gatling . Experience working with Java 11, Spring Boot 2.7 , and Oracle 19 is highly desirable.