1 to 25 of 44 Permanent Apache Spark Jobs in the UK excluding London

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

design, build and operate reliable, scalable data pipelines and lakehouse solutions that enable analytics, AI and GenAI. You will work hands-on with Databricks, Apache Spark and the Azure data ecosystem to ingest, transform and serve trusted data products, taking ownership from development through to production support … Databricks focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage Databricks, Apache Spark and Azure services to develop and optimise batch and streaming pipelines, implement Delta Lake lakehouse patterns, and deliver well-governed data sets that ...

Data Engineer Salary up to £70,000 + discretionary bonus Hybrid working model with collaborative office environment Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS Apply online or contact Chelsea Hackett via ABOUT THE CLIENT Due to continued growth, we're seeking a skilled Data Engineer … optimise scalable data pipelines within a Databricks Lakehouse environment. You'll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering ...

focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will combine deep Databricks and Apache Spark expertise with strong client engagement skills to shape solutions from early-stage opportunity through delivery. You will lead our Databricks partnership activity … sales by contributing to discovery, solution design, estimates, and compelling client-facing materials. Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data across cloud and on-premises sources and targets. Design and oversee the delivery of secure data warehouses ...

should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure … develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks ...

Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices code reviews, testing ...

learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow ...

About the Job you are considering: Results-driven Hadoop Spark Data Engineer with strong expertise in designing and implementing scalable big data solutions using Scala and Apache Spark. Experienced in working with the Hadoop ecosystem, including HDFS, Hive, and YARN, to process and analyze large datasets efficiently. Skilled … Azure. Your Skills: Proficient in Scala programming with strong expertise in functional programming concepts for building scalable data applications. Extensive experience in Apache Spark (Core, SQL, and Streaming) for processing large-scale distributed data efficiently Strong knowledge of Hadoop ecosystem components including HDFS, YARN, Hive, and HBase. Skilled ...

version control. Data Engineering Stack Experience building pipelines using streaming frameworks, distributed processing engines and relational or analytical storage technologies. Examples include Kafka, Spark, PostgreSQL. Orchestration Experience defining and running data workflows using modern orchestration frameworks. Examples include Airflow, Dagster or Prefect. Data Quality and Lineage Familiarity with tools ...

automation & configuration management; • Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; • NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript; • Big data processing and analysis, e.g. Apache Hadoop (CDH), Apache Spark; • RedHat Enterprise Linux, CentOS, Debian or Ubuntu. • Java 8, Spring framework (preferably Spring boot), AMQP - RabbitMQ, • Open source technologies ...

automation & configuration management; • Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; • NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript; • Big data processing and analysis, e.g. Apache Hadoop (CDH), Apache Spark; • RedHat Enterprise Linux, CentOS, Debian or Ubuntu. • Java 8, Spring framework (preferably Spring boot), AMQP - RabbitMQ, • Open source technologies ...

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 ...

Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills ...

What we’re looking for: Strong Python development and software engineering experience Experience building scalable data pipelines and distributed data platforms Knowledge of Kafka, Spark and modern data processing technologies Experience with orchestration tools such as Airflow, Dagster or Prefect Hands-on experience with Docker, Kubernetes and containerised deployments ...

strong Python/PySpark engineers who can learn Foundry quickly are encouraged to apply. Essential qualifications • Extensive experience with Python and PySpark/Apache Spark. • Proven track record designing and delivering scalable data pipelines and data products. • Strong SQL and data modelling skills. • Experience with modern data architectures ...

Oracle). Comprehensive knowledge of European and international gas and power markets, covering physical and financial trading, forward/futures/options, basis risk, spark and dark spreads, gas balancing, power scheduling, nominations, LNG and cross-commodity optimisation. Proven track record of defining and delivering enterprise-level architecture ...

development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security or Security Analytics experience CI/CD and automated deployment practices Strong stakeholder engagement and communication skills You will ...

driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern ...

technology sectors. You'll bring: Significant experience leading Data Engineering teams and large-scale programmes Strong expertise in Python and SQL Deep experience with Spark and/or Databricks Strong cloud expertise across AWS, Azure and/or GCP Experience with orchestration technologies such as Airflow A track record ...

data modernisation approach es Technical Expert iseStrong hands-on/architectural expertise in:Azure data ecosystem (ADF, Synapse, Fabric, AD LS)Databricks (Delta Lake, Spark, ML workflo ws)Power BI (enterprise analytics & semantic lay er)Strong grounding in:Data modelling (dimensional, domain-driv en)Data governance, lineage, catalogu ingIntegration ...

Analytical B2B solution providers. Proficiency in SQL, Python, or other data-focused programming languages and data modeling principals. Experience with big data technologies (e.g. Spark) and distributed data processing.Good experience managing cloud-based data platforms, ideally Azure. Experience developing using agile software development methodologies principles such as DevOps ...

through influence with strong collaborator engagement skills. Preferred Experience Digital Twin, asset virtualization, or industrial data platforms Graph technologies (e.g., Neo4j), big data ecosystems (Spark, Hive, Hadoop) Databricks, Python, and modern analytics platforms Delivery of data products at enterprise scale Key Competencies Strategic product thinking with strong execution bias ...

internal knowledge Competencies and Behaviours: 3+ years experience in data platform engineering, cloud engineering, or similar roles Strong hands-on experience with Databricks, including Apache Spark, Delta Lake, Workflows Proven experience designing and deploying data platforms on AWS and/or Azure (e.g. ADLS, S3, VNet/ ...

data modelling and processing but focuses on practical ability to implement solutions using a range of technologies and languages including SQL, Python, Databricks, Apache Spark, Lakehouse and various RDBMS. This is a senior, hands-on role. You will develop and support more junior team members whilst working ...

problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non‐technical stakeholders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm ...