1 to 25 of 98 Apache Spark Jobs in the UK

Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will … Work across Azure environments on the low side Support data engineering workloads within Kubernetes environments on the high side Develop and maintain workflows using Apache Airflow Work with Apache Spark for large-scale data processing Support the ongoing development and improvement of established data pipelines Help ensure ...

Data Engineer 6 Month Contract Location: Hereford (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will … Work across Azure environments on the low side Support data engineering workloads within Kubernetes environments on the high side Develop and maintain workflows using Apache Airflow Work with Apache Spark for large-scale data processing Support the ongoing development and improvement of established data pipelines Help ensure ...

business. Key Responsibilities: Design, build and enhance a secure, scalable and reliable Databricks platformDevelop and maintain batch and real-time data pipelines using Databricks, Apache Spark and Delta LakeContribute to platform architecture, engineering standards and best practices across the data estateWork with Product, Analytics and Data Science teams … contribute to continuous improvement across the engineering teamJob Requirements: Significant experience building and supporting scalable, production-grade data platformsStrong hands-on expertise with Databricks, Apache Spark, Delta Lake, Python and SQLGood understanding of cloud-based data engineering, ideally within Microsoft Azure environmentsExperience with Infrastructure as Code tools such ...

related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines … solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta Lake Develop governed datasets and data products that support reporting, analytics, and artificial intelligence initiatives Partner with business ...

unknowns early and propose pragmatic solutions. Data Engineering • Design and build scalable, resilient and maintainable enterprise data solutions. • Apply strong engineering practices using Databricks, Apache Spark/PySpark, Python, SQL and modern lakehouse technologies. • Develop reusable patterns for data ingestion, transformation, integration and delivery. • Design for incremental processing … experience developing production-quality Databricks notebooks using Python and SQL. • Strong knowledge of modern data engineering, distributed processing and Lakehouse concepts. • Experience with Apache Spark or comparable large-scale data technologies. • Experience designing and implementing cloud-based data platforms and products. • Strong knowledge of data modelling, ingestion, transformation ...

control (Git) and related software lifecycle tooling.Experience with tooling for monitoring, logging and alerting e.g. Splunk, New Relic or Grafana.Experience of technologies such as Apache Spark, Databricks, Snowflake, or BigQuery to transform big-data optimised for Tesco scaleExperience building solutions that run in the cloud, ideally Azure.Experience with … control (Git) and related software lifecycle tooling.Experience with tooling for monitoring, logging and alerting e.g. Splunk, New Relic or Grafana.Experience of technologies such as Apache Spark, Databricks, Snowflake, or BigQuery to transform big-data optimised for Tesco scaleExperience building solutions that run in the cloud, ideally Azure.Experience with ...

hands-on Senior Databricks Solutions Architect to support a complex, high-performance data platform within a global organisation. Youll design and optimise Spark workloads, build production streaming pipelines and deliver scalable Databricks solutions using Delta Live Tables, Workflows, Unity Catalog, Python, PySpark, Terraform and Databricks Asset Bundles. Key requirements … Advanced Apache Spark and Spark SQL optimisation Production Spark Structured Streaming experience Deep Databricks platform knowledge Strong Python and PySpark engineering capability Delta Live Tables, Workflows and Unity Catalog Terraform and Databricks Asset Bundles CI/CD and GitHub Actions Ability to work autonomously ...

Skills & Experience Data Engineering & Cloud Extensive experience designing, building and operating production data platforms using Azure Databricks and Azure. Strong hands-on expertise with Apache Spark, PySpark, Spark SQL and Delta Lake. Experience implementing and managing Unity Catalog, including governance, lineage and access controls. Proven delivery ...

automated deployments, infrastructure management, monitoring, and scaling Coaching and mentoring junior engineers and promoting engineering best practices Skills & Experience: Understanding of data processing using Apache Spark and Apache Airflow for task orchestration Use of Python, SQL, and familiarity with PySpark Understanding of EMR and reviewing output logs ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

within either Flask, Tornado or Django, DockerExperience working with ETL pipelines is desirable e.g. Luigi, Airflow or ArgoExperience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data qualityPreparing data for predictive and prescriptive modellingHands on coding ...

modern frameworksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models ...

Data Engineer 6 Month Contract Location: Hereford (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy click apply ...

Management Stakeholder Collaboration Leadership & Mentorship Technology Stack The successful candidate will have experience working with some or all of the following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python ...

while collaborating with the Data & Analytics Lead, technical colleagues and business stakeholders. Experience in the following areas would also be useful: Materialised Lake Views Apache Spark or Python. Power BI semantic modelling. APIs and cloud business system integration. Data governance, lineage and quality frameworks. Professional services experience. What ...

programming skills, with experience developing and maintaining data pipelines Familiarity with ETL/ELT technologies and data streaming tools such as Airflow, Azure, SSIS, Spark or Kafka Experience working with databases and data platforms such as PostgreSQL, SQL Server, Oracle, Snowflake or similar technologies Knowledge of data visualisation tools ...

Excellent Python and SQL Solid grasp of data modelling, warehousing and lakehouse concepts Hands-on with orchestration (e.g. Airflow, Dagster) and distributed processing (e.g. Spark) Experience with cloud data platforms (AWS, Azure or GCP) and containerised deployment (Docker, Kubernetes) Good engineering practice: version control, CI/CD, testing ...

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 ...

. Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon). Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop). Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure ...

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. ...

need as 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 ...

ideal candidate will have: * Experience in data engineering, ideally aerospace/defence or industrial sectors. * ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). * Strong Python and SQL; C++, C#, or MATLAB a plus. * Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. * Data Platform Capabilities ...

Advanced experience operating Delta tables at scale, covering transaction semantics, schema evolution, partitioning, and compaction, alongside highly optimised analytical query execution using DuckDB or Apache Spark.• Production-grade relational database expertise, particularly PostgreSQL (query tuning, indexing, partitioning, replication, and schema design across OLTP and analytics).• Strong KDB experience ...

Skills & Experience Strong commercial experience in data engineering within cloud-based environments. Advanced Python and SQL development skills. Hands-on experience with Azure Databricks, Apache Spark and PySpark. Good understanding of Delta Lake, lakehouse architecture and modern data modelling. Experience building and managing production data pipelines, including batch ...

skills Experience building data pipelines and integrating data from multiple sources Exposure to technologies such as Power BI, Snowflake, SQL Server, PostgreSQL, Spark, Kafka, Airflow, Docker, and Kubernetes Experience within engineering, manufacturing, industrial, or other complex regulated environments would be advantageous Excellent stakeholder management and problem-solving abilities What ...