26 to 50 of 63 Apache Spark Jobs in the UK excluding London

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 ...

Senior Data Engineer (Scala/Spark) London | Hybrid Working | Initial 12 month contract | £450-550pd PAYE + holiday pay We are partnering with a world-leading technology organisation seeking an experienced Senior Data Engineer to join a high-performing engineering team responsible for building and operating large-scale … machine learning workflows at scale. As a Senior Data Engineer, you will design, build and operate large-scale batch data pipelines using Scala and Apache Spark. Working alongside Machine Learning Engineers, Researchers and Platform Engineers, you will help develop the infrastructure and tooling required to process vast datasets ...

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 ...

/ELT design and implementation) Strong SQL & Data Modeling (query optimization, schema design) Programming Skills (Python/Scala for data processing) Big Data Processing (Spark/Databricks) Cloud Data Platforms (Azure/AWS/GCP - especially data services) Secondary skills API-based Data Integration & Microservices exposure Banking/Financial ...

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 ...

Education Required Approximately 10 years of industry experience implementing data integration tools such as Microsoft SSIS, Azure Data Factory, Databricks, Glue, Step Functions, Airflow, Apache Flume/Sqoop/Pig, and similar technologies. 3–5 years of team management experience. 3–5 years of consulting experience (preferred). Minimum … knowledge of data warehousing, OLTP systems, data integration, and the software development lifecycle (SDLC). Hands-on experience with big data frameworks such as Spark, Hadoop, or Hive, including derivatives like PySpark (preferred), Spark Scala, or Spark SQL, along with familiarity with development-accelerating libraries and frameworks. ...

/ELT design and implementation) Strong SQL & Data Modeling (query optimization, schema design) Programming Skills (Python/Scala for data processing) Big Data Processing (Spark/Databricks) Cloud Data Platforms (Azure/AWS/GCP - especially data services ...

/ELT design and implementation) Strong SQL & Data Modeling (query optimization, schema design) Programming Skills (Python/Scala for data processing) Big Data Processing (Spark/Databricks) Cloud Data Platforms (Azure/AWS/GCP - especially data services) Secondary s click apply for full job details ...

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 ...

large-scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward ...

Person We Are Looking For Proven experience delivering large-scale Databricks transformation projects Strong Financial Services or enterprise consulting background Deep expertise across Azure, Spark, Delta Lake and modern data engineering practices Experience building and leading high-performing technical teams Strong commercial awareness and stakeholder management experience Ability ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred ...

maintain operational continuity and quality output Knowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred) Strong analytical and problem-solving skills with the ability to communicate clearly to both technical and non-technical stakeholders Basic understanding of artificial intelligence ...

Limited (DDIL) communications environments, supporting local processing at the edge Building streaming ingestion, event pipelines, and batch/stream processing workloads using technologies like Apache Flink and/or Apache Spark Implementing metadata, lineage, and catalogue capabilities along with policy-based security and governance Job Requirements: Extensive ...

large-scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward ...

using data mining techniques and with statistical rigor Strong technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark, SQL, Python and/or R. Excellent communication skills Strong skills in translating business problems into data problems Strong data visualization skills Strong skills ...

field, or experience in a professional field or military - Experience as technical specialist in design and architecture - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in software development with object oriented language - Experience in cloud based solution (AWS or equivalent), system, network and operating system - Experience ...

Job summary This post is offered on a fixed-term or secondment basis for 12 months (please see note above). Are you a data engineer with a passion for public service? Then maybe you ...