26 to 50 of 81 Apache Spark Jobs in the UK

data validation and application testing processes across distributed systems Investigate production issues using data analysis to identify root causes Work with orchestration tools (e.g., Apache Airflow) to monitor workflows and troubleshoot failures Validate data using tools such as Jupyter Notebooks and Amazon Athena Analyse data across multiple formats … additional programming language (e.g., Java) Experience with scripting languages such as Bash Strong understanding of automated testing frameworks and methodologies Hands-on experience with Apache Airflow and log analysis Familiarity with data processing tools such as Apache Spark Experience working with cloud platforms and services, including: Monitoring ...

experience with SQL and data modelling concepts Strong analytical and problem-solving skills Nice to Have Skills Experience with data pipeline tools (Airflow, Kafka, Spark) Knowledge of cloud platforms (AWS, Azure or GCP) Familiarity with relational and NoSQL databases Additional programming experience (Python, Scala) Essential Requirements Active SC Clearance ...

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 ...

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 ...

modern data engineering best practices You have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence ...

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 ...

experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/ ...

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 ...

appetite to further expand their Financial Services knowledge Software development experience in an Object Oriented (Java preferred) language; in addition exposure to Python, Spark, Map-Reduce, Scala advantageous Deep knowledge of RDBMS (Oracle 11g-26ai preferred), with understanding of multi-terabyte database design, including ETL, OLAP, OLTP and Data ...

well-documented data transformation; a clear point of view on semantic modeling and metric layer design. Fluency in Python and SQL; comfort with Spark for large-scale data processing and transformation. Experience with modern data ingestion patterns across structured, unstructured, CDC, API, and streaming sources (ADF, Kafka, Event Hubs ...

environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured ...

focus areas: Building scalable data pipelines using Apache Spark & Airflow Working within a cloud-based, containerised environment (Kubernetes) Contributing to a wider data platform modernisation programme Supporting both batch and streaming workloads Tech: Python, Java, Spark, Airflow, SQL, Cloud (AWS/Azure), Kubernetes (Kafka/streaming nice ...

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 ...

scaling data platforms, with a strong focus on Azure Cloud technologies (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake, Azure SQL Database, Databricks, Apache Spark). Proven experience leading the implementation of data platform strategies and managing large‐scale data infrastructure initiatives using Azure. Demonstrated experience implementing ...

/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 ...

monitoring Experience with cloud platforms (e.g. AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python ...

Prometheus, ElasticSearch , Grafana, OpenTelemetry ) for metrics, logs and traces Platform Technologies & BSS Vendor Platforms - Open source workflow engines (Temporal) - Stream/batch processing (Flink, Spark) - Test automation: Robot Framework and BDD - can review BDD robot files - BSS vendor platforms: Salesforce, Amdocs, Ciena - BSS/OSS proficiency: awareness of Product ...

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 ...

/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 ...

experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience in gaming or digital entertainment is a strong plus. ...

Server and Databricks SQL Experience working with data pipelines, workflow management tools and cloud-based data platforms in Azure Data Factory, Databricks and Spark Understanding of software engineering best practices including CI/CD and automated testing Ability to manage project timelines and communicate effectively with stakeholders Collaborative approach ...