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data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. ...

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, maintain ...

orchestration tools (e.g., Azure Data Factory, AWS Data Pipeline) Experience with cloud-based data platforms (Azure, Databricks, Synapse, Snowflake) Knowledge of data lake architecture, Apache Spark, and large-scale data processing frameworks Familiarity with DevOps tools and practices (Git, Azure DevOps, CI/CD pipelines) Understanding of Agile methodologies ...

warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as Terraform or CloudFormation Exposure to Apache Spark for distributed data processing Familiarity with workflow orchestration tools such as Airflow or AWS Step Functions Understanding of containerisation using Docker Experience with ...

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-based ...

clear, structured data engineering framework Build, enhance, and maintain data pipelines within Snowflake Develop transformations and data models using DBT Orchestrate workflows using Apache Airflow Write clean, modular Python code for data engineering solutions Improve pipeline reliability, performance, and observability Introduce and embed CI/CD, testing, and deployment ...

clear, structured data engineering framework Build, enhance, and maintain data pipelines within Snowflake Develop transformations and data models using DBT Orchestrate workflows using Apache Airflow Write clean, modular Python code for data engineering solutions Improve pipeline reliability, performance, and observability Introduce and embed CI/CD, testing, and deployment ...

systems. • Ability to obtain UK Security Clearance (SC). We'd love it if you also have: • Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI • Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. • Exposure to DevOps practices including ...

techniques. Desirable: Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes). Exposure to big data technologies (Spark, Hadoop) and Apache tools. Knowledge of NLP, computer vision, and deep learning architectures. Familiarity with Agile and DevOps practices. STEM degree or equivalent experience in AI, Data Science ...

implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake ...

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 design ...

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 design ...

Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly ...

systems. • Ability to obtain UK Security Clearance (SC). We’d love it if you also have: • Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI • Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. • Exposure to DevOps practices including ...

practices Essential Skills & Experience ·Proven experience as a Data Engineer working in a modern cloud data platform ·Strong hands‐on experience with Databricks and Apache Spark ·Experience building and maintaining medallion (Bronze/Silver/Gold) architectures ·Experience extracting and ingesting data using APIs ·Strong SQL skills for data ...

role Strong hands-on experience with Snowflake data platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing concepts and best practices Understanding of data governance ...

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 of DevOps ...

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 of DevOps ...

management systems Unit testing and test-driven development DevSecOps practices and tools Frontend frameworks (Angular, React, Svelte) Data streaming and integration technologies such as Apache Nifi Infrastructure as Code (Terraform) GraphQL Microservices architecture Performance optimization and scalability design Security engineering principles Preferred Qualifications: Familiarity with CI/CD pipelines ...

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 analytical … 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 analytical … 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 ...

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 tooling ...

code reviews, source control management (Git), design patterns, testing, and CI/CD awareness. You have experience with web/app server technologies (IIS, Apache, Tomcat, WebLogic, NGINX). You have experience with Linux/UNIX/Windows administration (permissions, file management, remote access) You have worked with content ...

code reviews, source control management (Git), design patterns, testing, and CI/CD awareness. You have experience with web/app server technologies (IIS, Apache, Tomcat, WebLogic, NGINX). You have experience with Linux/UNIX/Windows administration (permissions, file management, remote access) You have worked with content ...

strong focus on scalability, resilience, and performance. Develop and optimise scalable data pipelines , supporting both batch and streaming workloads, using technologies such as Apache Spark . Work extensively with data technologies , leveraging Python and SQL to deliver high-quality analytical and data-driven solutions. Lead the design and delivery ...