26 to 50 of 103 Apache Spark Jobs in the UK

focus on production-quality code • Solid understanding of ETL processes and best practices • Experience with SQL/NoSQL databases and big data tools (e.g. Spark, Pulsar) • Hands-on experience with cloud platforms (AWS, Azure, or GCP) • Experience developing and deploying data services end-to-end • Strong stakeholder communication ...

focus on production-quality code • Solid understanding of ETL processes and best practices • Experience with SQL/NoSQL databases and big data tools (e.g. Spark, Pulsar) • Hands-on experience with cloud platforms (AWS, Azure, or GCP) • Experience developing and deploying data services end-to-end • Strong stakeholder communication ...

commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative Culture ...

What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement ...

auditable, lineage-aware, idempotent, and resilient in regulated environments. Implement robust data quality controls including testing, validation, monitoring, and alerting. Drive performance optimization across Spark and Snowflake workloads. Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs. Improve engineering standards, processes, and tooling ...

auditable, lineage-aware, idempotent, and resilient in regulated environments. Implement robust data quality controls including testing, validation, monitoring, and alerting. Drive performance optimization across Spark and Snowflake workloads. Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs. Contribute to the continuous improvement ...

warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as Terraform or CloudFormation Exposure to Apache Spark for distributed data processing Familiarity with workflow orchestration tools such as Airflow or AWS Step Functions Understanding of containerisation using Docker Experience ...

strong focus on scalability, resilience, and performance. Develop and optimise scalable data pipelines , supporting both batch and streaming workloads, using technologies such as Apache Spark . Work extensively with data technologies , leveraging Python and SQL to deliver high-quality analytical and data-driven solutions. Lead the design ...

such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance ...

functions Highly proficient coding skills in SQL, Python & PySpark Proven knowledge in at least one of the following big data technologies – HIVE, Hadoop, MongoDB, Spark Experience within the Life Science, Medical Research or Pharmaceutical sector highly advantageous Analytically minded with the ability to solve problems creatively and efficiently Vast ...

have experience and expertise in following technologies: Java, Python, Data engineering, Data and Database engineering, Agentic AI, Gen AI, Machine Leaning, Generative AI, Scripting, Spark, Hadoop, SQL, NoSQL, PyTorch and one of the cloud technologies like AWS, Azure or GCP. Should have worked in at least two or more ...

code. LLMOps & AI Model Management: Familiarity with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Working knowledge of Databricks/Spark or comparable large-scale data processing tools. SQL: Solid capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data ...

environments Strong understanding of data security, governance, and access controls Desirable Experience Experience working within UK defence, intelligence, or national security programmes Exposure to Apache Kafka, Spark, Hadoop, or similar technologies Experience supporting data science or advanced analytics use cases Background working with classified datasets Contract Details Apply ...

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 ...

promote DevOps. Support internal and external stakeholders, including customers and regulatory authorities. Tools, Systems & Continuous Improvement Manage and optimise the use of tools (e.g. Apache Spark, AWS Glue, Databricks or equivalent). Support system enhancements of data processing and transformation, migrations, and process improvements. Contribute to the development ...

Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems (Git). ...

Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems (Git). ...

Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting ...

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 ...

with Databricks** You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable ...

MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks. Proficiency with data processing and storage technologies (eg SQL, Spark) Strong stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences. SUSTAINABLE BUSINESS Passion and curiosity to tackle ...

Azure Key Vault, Azure Monitor, Azure Log Analytics, Azure API Management (APIM), Azure DevOps. Databases : SQL Server, Oracle, PostgreSQL, Delta Lake Big Data : Apache Spark Version Control : GitHub, Git, Azure DevOps Visualization : Power BI & Integration with REST APIs for custom dashboards. Data Integration & Workflow Orchestration : Azure Data Factory ...

teams to drive outcomes Core skills (indicative) Production pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office ...

translate business needs into technical roadmaps What were looking for Strong experience in data architecture & large-scale systems design Expertise across Python, SQL, Spark, Scala Deep knowledge of AI/ML frameworks and modern data platforms Experience with cloud-native architecture and DevOps (Kubernetes, Terraform, CI/CD) Proven ...