13 of 13 Apache Spark Jobs in Yorkshire

with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with ...

agreed scope, acting as the key point of escalation for decisions that impact your area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse ...

Python and SQL; APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance optimization. Data engineering: Spark or Databricks, Kafka or equivalent streaming, ETL/ELT, batch and real-time pipelines, data contracts, lineage, cataloguing, quality rules, and scalable cloud storage. ...

Stock Exchange. With 3,000 employees and 32 offices in 12 countries we’re a business with lots of opportunity for people with talent, spark and lots of ambition. If you want to build a great career with a company that prioritises strong values – such as integrity and courage ...

equivalent apprenticeship/work experience in a subject such as Mathematics, Statistics, Computer Science, or Geography DESIRABLE Exposure to Big Data Analytics (BigQuery, Apache Spark), Parallel Computing (Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Graph Computing, or Microservices Relevant industry sector knowledge across retail, property ...

PowerShell) Hands-on SRE/DevOps and production support experience Desirable Skills Azure Databricks, Data Factory, or Data Lake Kafka, Event Hubs, or Spark Kubernetes Azure Monitor, Grafana, or Prometheus Cybersecurity experience, including SIEM/SOAR technologies Financial Services experience Ideal Candidate You will be a Software/Data ...

modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms ...

Python and SQL; APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance optimization. Data engineering: Spark or Databricks, Kafka or equivalent streaming, ETL/ELT, batch and real-time pipelines, data contracts, lineage, cataloguing, quality rules, and scalable cloud storage. ...

demonstrable experience of working in rapidly changing client environments. Needs to be a practitioner and proponent of Agile and Dev Ops Proficiency in Hadoop, Spark, Scala, Python, or a programming language associated with data engineering Expertise in building and deploying production level data solutions maintained by application support teams ...

ingestion processes and solutions. Lead the execution of Microsoft Fabric migration activities. Lead and guide migration engineers and QA resources. Develop Python, PySpark and Spark SQL code for data validation and curation within notebooks. Create data integration test cases and support testing activities. Implement and amend data processing … PySpark, SQL and Python. Good knowledge of real-time streaming applications, preferably including Kafka, Azure Functions or Azure Service Bus. Strong understanding of Spark processing and performance tuning. Experience working with file formats and partitioning, including Parquet, JSON, XML and CSV. Experience with Azure DevOps/GitHub ...

Data Engineer Rate: £550 per day INSIDE Location: Sheffield Working arrangement : Hybrid, 60% office/40% remote Contract length: Until 31 August 2027 IR35 status: To confirm Clearance requirement : BPSS Eligible Your new company You ...

role combines L2/L3 production support and Data Engineering tasks. Databricks experience covering notebooks, scheduled jobs, cluster configuration, driver/executor logs, Spark UI + performance troubleshooting. Supporting + maintaining production data pipelines, including incident investigation, safe recovery, root cause analysis + permanent remediation. Experience of Spark ...

role combines L2/L3 production support and Data Engineering tasks. Databricks experience covering notebooks, scheduled jobs, cluster configuration, driver/executor logs, Spark UI + performance troubleshooting. Supporting + maintaining production data pipelines, including incident investigation, safe recovery, root cause analysis + permanent remediation. Experience of Spark ...