51 to 75 of 264 Apache Jobs in the UK

pipelines. Exceptional troubleshooting and debugging skills. Good to have: Experience with designing and implementing integration solutions for event/data streaming. Experience working with Apache Superset. Start-up experience. Exposure to Payments domain - ideally sanctions screening. What You Get in Return: Impactful Work: Be part of a growing startup More ❯

or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team. Comfortable in a fast-paced environment. Have excellent written and verbal English More ❯

levels. Prior experience contributing to open-source projects or standards bodies (e.g., JCP). Some familiarity with the Hazelcast platform or similar technologies (e.g., Apache Ignite, Redis, AWS ElastiCache, Oracle Coherence, Kafka, etc.). Experience writing technical whitepapers or benchmark reports. BENEFITS 25 days annual leave + Bank holidays More ❯

Experience in developing web infrastructure (Solr, kubernetes) Experience in git and basic Unix Commands You may also have Experience with large data processing technologies (Apache Spark) Other helpful information: The team work in a hybrid working pattern and spends 2 days per week in office Apply now! Benefits and More ❯

to Have: AWS Certified Data Engineer, or AWS Certified Data Analytics, or AWS Certified Solutions Architect Experience with big data tools and technologies like Apache Spark, Hadoop, and Kafka Knowledge of CI/CD pipelines and automation tools such as Jenkins or GitLab CI About Adastra For more than More ❯

or all of the services below would put you at the top of our list: Google Cloud Storage. Google Data Transfer Service. Google Dataflow (Apache Beam). Google PubSub. Google CloudRun. BigQuery or any RDBMS. Python. Debezium/Kafka. dbt (Data Build tool). Interview process Interviewing is a More ❯

English (B2 level or higher). Nice to Have: Experience with Argo CD and Argo Rollouts. Familiarity with technologies such as Kafka, Redis, Nginx, Apache HTTP Server, OpenVPN, and Nats. Knowledge of logging tools (Kibana, FluentD, Elasticsearch). Expertise in configuring, managing, and optimizing large PostgreSQL databases. Understanding of More ❯

Modelling: Designing dimensional, relational, and Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory More ❯

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 More ❯

Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Terraform for IaC Docker Kubernetes Linux (sysadmin including firewalls and hardening) Web Server Config (Apache, Nginx) Database management (MongoDB & MySQL) for high availability and backups Git for version control Programming/Scripting languages like Node/TypeScript, Python Serverless More ❯

/CD process to ensure standards and processes are uniformly upheld Java (ideally version 8+), database, C#, .Net Multi-threading Junit Maven Logging frameworks Apache libraries GOF Patterns MS SQL Server/SQL & PL Experience in Kafka is a plus Experience in Monitoring solutions - Azure Insights/Grafana etc. 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 ❯

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 ❯

cloud solutions Handling real-time data processing and ETL jobs Applying AI and data analytics to large datasets Working with big data tools like Apache Spark and AWS technologies such as Elastic MapReduce, Athena and Lambda Please contact Edward Laing here at ISR Recruitment to learn more about our More ❯

reporting specific to each internal department. Required Experience & Skills: Technical Expertise: Proven experience with AWS/Azure/GCP (preferably AWS), Redshift/BigQuery, Apache Spark/EMR, Docker, Python, and SQL. Hands-on expertise with workflow orchestration tools (Prefect, Mage, or Airflow). Experience with MPP architectures and More ❯

that meet the evolving needs of the business. Utilise your strong background in data engineering, combined with your existing experience using SQL, Python and Apache Spark in production environments. The role will entail strong problem-solving skills, attention to detail, and the ability to work independently while collaborating closely More ❯

processing frameworks such as Kafka, NoSQL, Airflow, TensorFlow, or Spark. Finally, experience with cloud platforms like AWS or Azure, including data services such as Apache Airflow, Athena, or SageMaker, is essential for the Mid-level. The Role: Build and maintain scalable data pipelines. Design/implement optimised data architecture. More ❯

ideal candidate with have expertise in some of the following: Python, SQL, Scala, and Java for data engineering. Strong experience with big data tools (Apache Spark, Hadoop, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). Proficient in data modelling (relational, NoSQL, dimensional) and DevOps automation (Docker, Kubernetes, Terraform More ❯

methods for synthesis prediction using tools like PSI4 , Orca , or Gaussian . Big Data : Experience curating and processing data from diverse sources; exposure to Apache Spark or Hadoop is beneficial. Cloud Platforms : Proficiency with AWS , GCP , or Azure . ML Frameworks : Hands-on with scikit-learn , TensorFlow , PyTorch , or 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 ❯

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 ❯

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 ❯

Experience as a Data Engineer for Cloud Data Lake activities, especially in high-volume data processing frameworks, ETL development using distributed computing frameworks like Apache Spark, Hadoop, Hive. Experience optimizing database performance, scalability, data security, and compliance. Experience with event-based, micro-batch, and batched high-volume, high-velocity 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 ❯

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 ❯