1 to 25 of 61 Apache Spark Jobs in the UK excluding London

Data Engineer Salary up to £60,000 + 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 chelsea.hackett@searchability.com ABOUT THE CLIENT Due to continued growth, we’re seeking a skilled Data … 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 ...

improve team quality Support production systems and troubleshoot issues Write clean, tested, and maintainable code Tech Stack Python & SQL AWS (EMR, Athena, Lambda) Apache Spark (Scala or PySpark) Big data/distributed processing tools What They’re Looking For Strong experience as a Data Engineer using Python … Experience working with AWS or similar cloud platforms Hands-on experience with Apache Spark Ability to work with large, complex datasets Strong problem-solving and analytical mindset Understanding of CI/CD, testing, and agile development practices Confident communicating with technical and non-technical stakeholders Exposure ...

capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines using Apache Spark and Databricks Implement Delta Lake and medallion architecture (Bronze, Silver, Gold) Ensure data governance, security, and performance optimization Integrate Databricks with cloud … stakeholders to deliver scalable data solutions Required Skills & Qualifications Databricks Certification (e.g., Databricks Certified Data Engineer Associate/Professional) Strong experience with Databricks, Apache Spark, and Delta Lake Proficiency in Python, SQL, and data pipeline development Experience with cloud platforms (Azure, AWS, or GCP) Solid understanding of modern ...

code and sharing knowledge across the team Supporting production systems when needed The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies. What they're hoping you'll bring … complex data problems An interest in improving pipelines, tooling and processes A collaborative approach and willingness to share ideas Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential. The setup The team works ...

code and sharing knowledge across the team Supporting production systems when needed The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies. What they're hoping you'll bring … complex data problems An interest in improving pipelines, tooling and processes A collaborative approach and willingness to share ideas Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential. The setup The team works ...

direction within your team Required Skills and Experience Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka ...

with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments. Experience implementing and configuring training simulation ...

Time series, NLP, recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark, Hive, Databricks) MLOps & Deployment Model lifecycle management CI/CD pipelines Containerization (Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination ...

within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

Ecosystem (Preferred/Good to Have) Azure data services experience in one or more: Azure Synapse Analytics/Dedicated SQL Pools Azure Databricks/Spark ADLS Gen2, Azure SQL DB, Managed Instance Event Hub/Kafka, Stream Analytics (if real-time involved) Monitoring & observability: Azure Monitor, Log Analytics, Application ...

workflow management tools Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL) Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop) Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services, with proven data governance and security practices Strong programming skills ...

quality and reliable deliverables. Optionally contribute to on-call platform support where required. What We’re Looking For Technical Expertise Strong experience with Databricks, Apache Spark, and cloud-based data architectures (preferably Azure). Excellent programming capability in Python and SQL. Experience orchestrating pipelines with Azure Data Factory ...

applications. Knowledge of MLOps, DevOps, CI/CD, and automated model pipelines within Foundry and cloud-based environments. Familiarity with big data ecosystems (Foundry, Spark, Hadoop) and commercial data source integration. ...

deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including ...

Vault . Hands-on experience exposing Lakehouse solutions to BI tools (e.g. Power BI , Tableau ). Proficiency in Databricks Workflows , Delta Live Tables , and Spark for batch and streaming pipelines. Strong programming capability in Python , Scala , and/or SQL . Practical experience with at least one major cloud ...

Skills & Experience* Proven experience delivering enterprise-scale Databricks solutions end-to-end.* Strong background in Lakehouse Architecture, including structured and unstructured data.* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.* Strong programming skills in Python, Scala ...

Skills & Experience* Proven experience delivering enterprise-scale Databricks solutions end-to-end.* Strong background in Lakehouse Architecture, including structured and unstructured data.* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.* Strong programming skills in Python, Scala ...

Salesforce data ingestion experience Exposure to NoSQL databases such as MongoDB, Cassandra, or DynamoDB Experience supporting Power BI and Tableau reporting Proficiency in Python, Spark, or similar data engineering tools Understanding of AI and ML trends Strong communication and stakeholder management skills ...

Face Transformers to enable capabilities such as intelligent document processing, conversational AI, and semantic search. Knowledge and experience of some of the following tools; Apache Spark, Databricks, Pandas for data processing and feature engineering SQL, MongoDB for structured and unstructured data management SageMaker, Azure ML for model deployment ...

pipelines and platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala … Proven track record with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge ...

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

explain technical concepts to varied audiences. Nice to Have Cloud experience: AWS/Azure/GCP . Containerisation: Docker, Kubernetes . Distributed processing: Apache Spark/Flink . Please apply within for further details - Matthew Holmes, Harvey Nash Always use these settings ...

expertise Proven experience in IAM (Identity & Access Management), cyber operations, and/or vulnerability management Hands-on experience with big data technologies (eg Databricks, Spark) and cloud platforms Proficiency in Python or similar programming languages Experience developing data-driven solutions within cybersecurity environments Strong understanding of cyber threat landscapes ...