1 to 25 of 50 DemandTrendPermanent Hadoop Jobs in the UK excluding London

implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data warehouse technologies (Snowflake, Databricks) Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products Expert problem-solving skills, including debugging More ❯

Familiarity with Data Mesh, Data Fabric, and product-led data strategies. Expertise in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools (Apache Spark, Hadoop). Programming knowledge (Python, R, Java) is a plus. Understanding of ETL/ELT, SQL, NoSQL, and data visualisation tools. Awareness of ML/AI integration into data architectures. More ❯

and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi) Familiarity with cloud More ❯

both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on knowledge of AWS S3 and associated big data services Extensive experience with big data technologies including Hadoop and Spark for large-scale dataset processing Deep understanding of data security frameworks, encryption protocols, access management and regulatory compliance Proven track record building automated, scalable ETL frameworks and More ❯

distributed computing, TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP). Passion for More ❯

distributed computing, TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP). Passion for More ❯

distributed computing, TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP). Passion for More ❯

distributed computing, TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP). Passion for More ❯

capability in documenting high-level designs, system workflows, and technical specifications. Deep understanding of architectural patterns (e.g., microservices, layered, serverless). Expert knowledge of big data tools (Kafka, Spark, Hadoop) and major cloud platforms (AWS, Azure, GCP) to inform technology recommendations. Proficiency in Java, C#, Python, or JavaScript/TypeScript. Experience with cloud platforms (AWS, Azure, Google Cloud) and More ❯

to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech, or software product companies. Knowledge of big data frameworks (Spark, Hadoop) or cloud platforms (AWS, GCP, Azure). Experience building and deploying models into production. A strong interest in AI, automation, and software innovation. 🎁 What’s in It for You More ❯

to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech, or software product companies. Knowledge of big data frameworks (Spark, Hadoop) or cloud platforms (AWS, GCP, Azure). Experience building and deploying models into production. A strong interest in AI, automation, and software innovation. 🎁 What’s in It for You More ❯

predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus. Strong analytical mindset with the ability to translate data into actionable insights. If you or someone you know of might More ❯

and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus. Strong analytical mindset with the ability to translate data into actionable insights. If you or someone you know of might More ❯

and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus. Strong analytical mindset with the ability to translate data into actionable insights. If you or someone you know of might More ❯

problem-solving Bonus skills Experience in any of the following is a plus: Python, Scala, or data processing frameworks Event-driven or distributed system architectures Big data tools (e.g., Hadoop, HDFS, Airflow) Linux and containerisation Why join? This is an exciting opportunity to be at the forefront of large-scale, cloud-first transformation efforts. You'll help shape platforms More ❯

problem-solving Bonus skills Experience in any of the following is a plus: Python, Scala, or data processing frameworks Event-driven or distributed system architectures Big data tools (e.g., Hadoop, HDFS, Airflow) Linux and containerisation Why join? This is an exciting opportunity to be at the forefront of large-scale, cloud-first transformation efforts. You'll help shape platforms More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

SQL technologies (e.g. MS SQL, Oracle) NoSQL technologies (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing tools (ETL, ESB, API) Programming experience (Python or similar) Big data tools (e.g. Hadoop stack) Knowledge of NLP, OCR, and Generative AI is advantageous Experience with containerisation (e.g. Docker) is beneficial Familiarity with defence or industrial sectors is a plus Benefits Package: Annual More ❯

on-prem to cloud data migrations Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills Expertise in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, NLP, or OCR is a plus Understanding of data governance and compliance in secure environments Eligibility for SC clearance -British citizen More ❯

on-prem to cloud data migrations Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills Expertise in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, NLP, or OCR is a plus Understanding of data governance and compliance in secure environments Eligibility for SC clearance -British citizens More ❯