1 to 25 of 49 Apache Spark Jobs in London

capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines using Apache Spark and Databricks Implement Delta Lake and medallion architecture (Bronze, Silver, Gold) Ensure data governance, security, and performance optimization Integrate Databricks with cloud … stakeholders to deliver scalable data solutions Required Skills & Qualifications Databricks Certification (e.g., Databricks Certified Data Engineer Associate/Professional) Strong experience with Databricks, Apache Spark, and Delta Lake Proficiency in Python, SQL, and data pipeline development Experience with cloud platforms (Azure, AWS, or GCP) Solid understanding of modern ...

data sets can be effectively combined and analysed. They can also utilise programming languages such as Python, Java or SQL and tools such as Apache Spark or in this instance LakeFS, for data processing and management. Useful - R, Apache Spark Very useful - Python, SQL, JSON, LakeFS. ...

with cross-functional teams to optimise data workflows and performance * Utilising programming languages such as Java, Python, and SQL, alongside tools like LakeFS and Apache Spark, to process and manage data efficiently What you'll bring: * Proven expertise as an Elastic Search SME, with a deep understanding … with data systems, from collection to analysis * Strong programming skills in Java, Python, and SQL * Familiarity with data processing tools such as LakeFS and Apache Spark (desirable) * Ability to work effectively in a collaborative environment, with excellent problem-solving skills * Must have a minimum of 5 years ...

data platform and engineering capability as the business continues to scale its trading operations. They are looking for a Data Engineer with strong Apache Airflow experience to help design and build the pipelines that power trading, analytics and commercial decision-making. This is a great opportunity to join … platform and the opportunity to work with modern open-source technologies . What You’ll Be Doing Designing and building data pipelines orchestrated with Apache Airflow Developing ETL/ELT workflows in Python and SQL to process trading and operational data Building reliable, scalable data infrastructure to support analytics ...

across the platform. Key Responsibilities Design and maintain data pipelines to process large geospatial and sensor datasets. Develop distributed systems using tools such as Apache Spark, Kafka, and Hadoop. Integrate diverse data sources including satellite, remote sensing, IoT, and GIS feeds. Build analytical models and workflows to detect … years of experience in data engineering, software development, or platform design. Strong programming ability in Python, Java, or Scala. Knowledge of frameworks such as Spark, Kafka, or Flink. Experience working with geospatial data and tools including PostGIS, GDAL, or GeoServer. Strong SQL and NoSQL experience, including data warehousing ...

logic into high-quality code using Python, Scala, or Java. Innovation: Evaluate and implement new technologies across Cloud (Azure, AWS, GCP) and Big Data (Spark, Kafka) stacks. Collaboration: Work closely with business teams to define data flows and ensure security protocols (encryption/authentication) are met. Technical Toolkit Languages ...

Production Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost) Deep Knowledge of Data Warehousing, ETL/ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive) Responsibilities: Leading Customer-Facing AI Deployments across Europe, from the Initial Consulting Phase right through to the Live Implementation … Production ML Systems Architecting & Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam). Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems. Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI. Writing ...

models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows. Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments. … closely related infrastructure role. Strong proficiency in Python for ML pipeline development, tooling, and automation. Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow. Experience with model registries and experiment tracking platforms (MLflow preferred). Experience deploying and operating ML workloads on AWS (Batch ...

commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative Culture ...

quality and reliable deliverables. Optionally contribute to on-call platform support where required. What We’re Looking For Technical Expertise Strong experience with Databricks, Apache Spark, and cloud-based data architectures (preferably Azure). Excellent programming capability in Python and SQL. Experience orchestrating pipelines with Azure Data Factory ...

making. Collaborating with engineering teams and stakeholders to solve complex technical challenges. Technology exposure Typical environments include: Python, SQL and modern data engineering tooling Spark, Databricks and distributed data platforms AWS, Azure and Google Cloud Modern data lake and data warehouse architectures Who we’re keen to speak with ...

Vault . Hands-on experience exposing Lakehouse solutions to BI tools (e.g. Power BI , Tableau ). Proficiency in Databricks Workflows , Delta Live Tables , and Spark for batch and streaming pipelines. Strong programming capability in Python , Scala , and/or SQL . Practical experience with at least one major cloud ...

Skills & Experience* Proven experience delivering enterprise-scale Databricks solutions end-to-end.* Strong background in Lakehouse Architecture, including structured and unstructured data.* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.* Strong programming skills in Python, Scala ...

auditable, lineage-aware, idempotent, and resilient in regulated environments. Implement robust data quality controls including testing, validation, monitoring, and alerting. Drive performance optimization across Spark and Snowflake workloads. Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs. Improve engineering standards, processes, and tooling ...

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

support Workflow orchestration (Airflow or Dagster) AWS data services (Athena, S3, MWAA, Iceberg) Data quality monitoring & incident management Nice to Have: Airbyte DBT Apache Spark Grafana FTP/data distribution platforms Financial data experience ...

explain technical concepts to varied audiences. Nice to Have Cloud experience: AWS/Azure/GCP . Containerisation: Docker, Kubernetes . Distributed processing: Apache Spark/Flink . Please apply within for further details - Matthew Holmes, Harvey Nash Always use these settings ...

statistical techniques, including validation. Understanding of data analytics and data visualisation techniques. Ability to process large datasets via batch or stream processing using Apache Spark or similar tools. Exposure to techniques used for acquiring and fusing data. Experience with cloud platforms (preferably AWS) or implementing cloud-based data ...

experience building data pipelines in production environments. Proficiency with Microsoft Fabric, including Data Factory, lakehouses, warehouses, notebooks and semantic models. Strong skills in PySpark, Spark SQL and T-SQL for data transformation. Experience with medallion architecture or equivalent layered data processing patterns. Working knowledge of OneLake, delta tables ...

will have strong experience in data engineering, with advanced proficiency in SQL and Python, alongside exposure to large-scale data processing frameworks such as Apache Spark. You should have a solid understanding of data architecture, data wrangling and data quality practices, as well as experience working within financial markets ...

Kafka Exposure to cloud platforms (AWS, Azure, or GCP) Familiarity with containerisation technologies (Docker, Kubernetes) Experience with distributed data processing tools such as Spark or Flink Additional Information Daily rate: £850 - £900 Hybrid working model in London Initial contract with strong likelihood of extension McGregor Boyall is an equal ...

common ML frameworks such as PyTorch, TensorFlow, or scikit-learn * Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing * Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow How to Apply If you are interested in this Machine ...

influence within the team and communicate clearly with technical and non-technical stakeholders. Data Engineer (New Technology/Microsoft) Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous). Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous). Experience contributing … Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning and AI on Databricks (desirable). ...

Kubernetes Strong Git-based development workflows Experience delivering features end-to-end in distributed teams Confident troubleshooting production issues in real time Desirable Skills Apache Spark (EMR) & Delta Lake PostgreSQL (Aurora) CI/CD using GitHub Actions IaC (Helm, CloudFormation) Monitoring tools (Sentry) Role Responsibilities … React frontend Build and maintain Dockerised microservices deployed to AWS (EKS) Troubleshoot and optimise performance across the stack Support data ingestion and transformation pipelines (Spark-based) Work cross-functionally with product and data specialists Help shape new features and influence engineering standards This role is 100% hands-on engineering ...

Kubernetes Strong Git-based development workflows Experience delivering features end-to-end in distributed teams Confident troubleshooting production issues in real time Desirable Skills Apache Spark (EMR) & Delta Lake PostgreSQL (Aurora) CI/CD using GitHub Actions IaC (Helm, CloudFormation) Monitoring tools (Sentry) Role Responsibilities … React frontend Build and maintain Dockerised microservices deployed to AWS (EKS) Troubleshoot and optimise performance across the stack Support data ingestion and transformation pipelines (Spark-based) Work cross-functionally with product and data specialists Help shape new features and influence engineering standards This role is 100% hands-on engineering ...