1 to 25 of 97 Apache Spark Jobs in the UK

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

Data Engineer Salary up to £70,000 + discretionary bonus Hybrid working model with collaborative office environment Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS Apply online or contact Chelsea Hackett via chelsea.hackett@searchability.com ABOUT THE CLIENT Due to continued growth, we’re seeking a skilled Data … optimise scalable data pipelines within a Databricks Lakehouse environment. You’ll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering ...

delivery of data products. Develop scalable cloud-native solutions using AWS technologies. Build and maintain backend services and infrastructure using Python. Work with Apache Spark and Apache Airflow for data orchestration pipelines Implement infrastructure as code using Terraform and/or AWS CloudFormation . Manage IAM setups … experience focused on AWS-based data platforms. Strong experience with DevOps, cloud engineering and running production data platforms. Hands-on experience provisioning and managing Apache Airflow and Apache Spark . Experience with CI/CD pipelines, automated testing and agile software development practices. Comfortable working with large ...

Design, build, and maintain cloud-based infrastructure using AWS Develop and manage Infrastructure as Code using Terraform Support and optimise data processing pipelines using Apache Spark and Airflow Collaborate with cross-functional teams to deliver secure and scalable solutions Implement CI/CD pipelines using GitLab Containerise applications … Access Layer Secure File Transfer (SFT) Key Skills & Experience Strong experience with AWS services Expertise in Terraform (Infrastructure as Code) Hands-on experience with: Apache Spark Python Apache Airflow Docker GitLab CI/CD Experience with security scanning tools such as: Trivy Trend Micro Wiz (or similar ...

Initial 6 months Rate: £450-500 Key Responsibilities: Developing and maintaining scalable Python applications and services Working with large-scale data processing solutions using Apache Spark/PySpark Building and supporting cloud-native solutions within AWS Collaborating closely with Product Owners, Business Analysts, and engineering teams Supporting … Skills & Experience: Strong Python development experience Experience working with AWS services such as S3, Glue, EMR, Lambda, CloudWatch, IAM and DynamoDB Knowledge of Apache Spark and PySpark Experience with Apache Airflow for orchestration Strong SQL and data analysis capabilities Experience with Docker and containerised deployments Infrastructure ...

Software Developer Permanent | Hybrid (willing to travel to Newcastle) | Python | Apache | Data | SC cleared Hybrid work arrangement. Office attendance is up to 60%. Location is flexible: London, Leeds, Newcastle, Sheffield, Blackpool, Manchester and Birmingham. You must be willing to travel to Newcastle when required. The Role … looking for Software Developers with strong Python and data processing with Apache Spark responsible to lead the design, development, and operation of data-driven applications and pipelines in a collaborative Dev and DevOps environment. The role focuses on writing and improving application code while working closely with DevOps ...

partnership with Inspire People, is hiring a Lead Data Engineer with strong SQL and Python expertise, experience across modern cloud data platforms including Databricks, Apache Spark and lakehouse architectures, and a proven ability to design, build and lead delivery of reliable data products. This is a permanent role … Strong proficiency in SQL and Python - Experience with modern cloud data platforms and lakehouse architectures - Hands-on experience with big data technologies such as Apache Spark or Databricks - Strong knowledge of data warehousing concepts - Experience with build, test and deployment automation - Proven leadership capability leading or mentoring data ...

looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems, whilst … with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality ...

looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems, whilst … with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality ...

requirements 3+ years of Python in production environments Strong AWS experience across core services Strong SQL skills for querying, transformation, and optimisation Experience with Apache Spark or serverless architectures Core responsibilities and skills Build and maintain real-time and batch ETL pipelines using Python on large, complex datasets … across large data volumes Model and transform data into well-structured, reusable datasets for downstream use Work with distributed data processing tools such as Apache Spark to handle high-volume workloads Improve existing pipelines by identifying bottlenecks and refactoring code and queries Develop and maintain data workflows, scheduling ...

pipeline and working with stakeholders to understand requirements. What You’ll Do as Data Engineer: Work on complex data projects, using tools such as Apache Spark, Athena and AWS. Review and measure the performance of the data pipeline, identifying improvements in design, architecture and tooling. Work with stakeholders … What We’re Looking For: 4+ years' experience in a Data Engineer role, with proven experience on AWS. Strong skills in SQL, Python, and Apache Spark (Scala or Python). Knowledge of software development best practices and ability to problem-solve whilst working on large, complex data sets. ...

ESSENTIAL CRITERIA: Strong experience designing and operating large-scale distributed or event-driven systems. Hands-on experience with streaming and data technologies such as Apache Kafka, Apache Flink, Spark, or similar platforms. Experience building scalable cloud-based services, ideally within AWS environments and modern backend technologies such … used across our teams include: Java/Spring Boot and TypeScript/JavaScript AWS services including MSK, Lambda, ECS, S3, DynamoDB, Redshift, and SQS Apache Kafka, Apache Flink, Airflow, Spark, and EventBridge SQL and NoSQL databases including Postgres, MongoDB, DynamoDB, and Timestream CI/CD and automation ...

Data Engineer, working with large-scale, complex datasets in regulated environments Scala development experience supporting analytics or data-processing solutions Hands-on experience with Apache Spark for large-scale distributed data processing Experience with model calibration, threshold management, and score explainability to meet AML governance and regulatory standards … Analyst or Data Engineer, working with large, complex datasets in regulated environments Solid Scala development experience, writing and supporting scalable data and analytics solutions Apache Spark experience, including batch and/or dynamic processing of high-volume data About Us FDM is an award-winning global leader ...

with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments Experience implementing and configuring training simulation ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

What We're Looking For: Experience with MongoDB: Essential for this role! Technical Proficiency: Strong skills in SQL, Python, and familiarity with tools like Apache Spark, Kafka, and Airflow. Cloud Knowledge: Experience with AWS, Azure, or GCP is a plus. Data Understanding: Strong grasp of data modeling, schema ...

Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time, state, backpressure) Experience with cloud platforms (AWS preferred; Azure or GCP also considered ...

experience in data engineering or large-scale data platforms Strong programming skills in Java (preferred) or Python Hands-on experience with Kafka, Flink, or Spark, with a preference for streaming technologies Solid understanding of real-time data processing concepts such as event time, state handling, and backpressure Experience building ...

lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . … reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases ...

understand where traditional patterns remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness ...

Collaborate with senior developers and quantitative teams on new analytics capabilities Participate in debugging, testing, and production support activities Technology Environment Python Databricks/Apache Spark SQL Pandas/NumPy Git REST APIs Cloud technologies (Azure or AWS) Numerix (or equivalent pricing/risk platform) Jupyter/notebook … commercial Python development experience Strong understanding of data structures and software engineering fundamentals Experience working with data engineering or analytics tooling Exposure to Databricks, Spark, or cloud-based data platforms Understanding of SQL and relational databases Excellent problem-solving and communication skills STEM or Computer Science degree preferred Nice ...

clouds (AWS, Azure, GCP) and cloud data warehousing solutions like Snowflake and Databricks. Certifications with each are a plus. Understanding of SQL, Python, R, Apache Spark or similar product or language are also a plus Strong knowledge of data analytics, data science, ETL processes, AI/ML workflows ...

clouds (AWS, Azure, GCP) and cloud data warehousing solutions like Snowflake and Databricks. Certifications with each are a plus. Understanding of SQL, Python, R, Apache Spark or similar product or language are also a plus.* Strong knowledge of data analytics, data science, ETL processes, AI/ML workflows ...

with cross-functional teams to deliver data-driven solutions Support data modelling, governance, and quality initiatives What were looking for Experience with Python, SQL, Spark (and ideally Scala) Hands-on delivery of ML solutions in production Exposure to cloud platforms (AWS, Azure, or GCP) Understanding of DevOps, containers ...