24 of 24 Remote/Hybrid Apache Spark Jobs in the UK excluding London

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 ...

Experience using Git/version control Strong communication skills with both technical and non-technical stakeholders Desirable Skills: Microsoft Fabric Azure Synapse Analytics Databricks Apache Spark/PySpark dbt Apache Airflow Power BI Azure DevOps CI/CD pipelines Terraform What's On Offer: £65k+ salary package ...

design and deliver scalable, enterprise-grade data solutions. This role will focus on building and optimising modern data platforms using Python, Databricks and Spark, enabling advanced analytics, reporting and data-driven innovation across the business. Client Details Our client is a leading international financial institution with a long-established … complex global environment. Description Design, build and maintain scalable data pipelines using Python and Databricks Develop and optimise ETL/ELT processes leveraging Spark and Delta Lake Create robust data models and data architectures within modern Lakehouse environments Implement and manage data workflows across the Databricks ecosystem Ensure data ...

seeking an experienced Lead Data Engineer with deep expertise in Python, Databricks and Spark to lead the delivery of large-scale data engineering initiatives. This is a unique opportunity for a technical leader who enjoys combining hands-on engineering with project delivery, team leadership and stakeholder engagement … similar hands-on leadership role Strong hands-on expertise in Python Extensive experience with Databricks, including workflows, notebooks and Delta Lake Strong experience with Apache Spark/PySpark Experience building and optimising enterprise-scale ETL pipelines Strong understanding of modern data architecture and Lakehouse concepts Advanced ...

able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create ...

Rust Data Platforms: BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, MySQL, MongoDB, or other SQL/NoSQL technologies Data Tooling: Airflow, dbt, AWS Glue, Step Functions, Spark, Hadoop, or similar tooling Infrastructure: AWS, Terraform, Docker, Kubernetes, or other cloud/platform technologies CI/CD: GitHub Actions, Jenkins, ArgoCD, or similar ...

engineering best practices Skills & Experience * 3+ years' commercial experience in Data Engineering * Strong Java or Python development skills * Experience with Kafka, Flink or Spark * Experience building ETL/ELT or streaming data pipelines * Knowledge of AWS (Azure or GCP also considered) * Experience with Docker, Kubernetes and CI/ ...

strategic thinking. Essential Skills & Experience Strong Microsoft Fabric expertise (Lakehouse, Warehouse, Pipelines, Notebooks) OneLake architecture and management Advanced SQL/T-SQL PySpark and Spark optimisation Data warehousing, modelling and ETL/ELT development Power BI semantic modelling Experience delivering enterprise cloud data platforms Experience integrating multiple business systems ...

need as Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD ...

large-scale data platforms and end-to-end technical solutions within enterprise environments. Strong hands-on experience with open-source data technologies such as Apache Spark, Trino, Airflow, Apache Superset , or similar platforms. Demonstrable security architecture expertise, including threat modelling, IAM (RBAC/ABAC), encryption, secrets management ...

Architecture.- Strong programming skills in Python and SQL.- Familiarity with cloud platforms such as AWS, Azure, or GCP.- Knowledge of Snowflake and experience with Spark/PySpark.- Experience in designing and implementing modern data platform engineering solutions.If you are ready to make an impact within a dynamic team ...

multidisciplinary team to support and enhance over 70 active BI products. What You'll Bring Essential Skills & Experience: Core Technologies: Azure Databricks (or similar Spark-based platforms) and Azure Data Factory (ADF). Languages: SQL and Python. Data Platforms: Azure Data Lake and SQL Server RDBMS. ETL Tools ...

driven decision making. What you'll 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 ...

platforms that enable real‐time and batch data processing at scale. Responsibilities Drive platform capability improvements – continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best‐in‐class capabilities. Enable application data consumption – understand how applications produce and consume data … structures, partitioning strategies, consistency models, and performance optimisation, as well as OLTP databases such as PostgreSQL and MySQL. Distributed compute frameworks – strong experience with Apache Spark and distributed data processing, including optimisation, performance tuning, and large‐scale batch/streaming workloads. Cloud‐native data platforms – demonstrated experience with ...

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 ...

services, capital markets or FinTech. Additional AWS services such as SQS, SNS, Step Functions, EventBridge or Secrets Manager. Big data technologies including DuckDB, pandas, Spark, Databricks or Snowflake. AI/ML technologies including vector databases, semantic search or LLM orchestration frameworks. Continuous delivery and modern development workflows. Data science ...

partner management and ability to influence across teams and organisations. Continuous learning and improvement mentality. Desired Experience with big data technologies (e.g. Hadoop, Hive, Spark). Experience with generative AI, LLMs, or retrieval-augmented generation (RAG). Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration ...

Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring. Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop). Knowledge of experimental design, scientific methodology, and analysis. Strong partner management and confirmed ability to influence large organisations without direct authority. Demonstrated ...

Weaviate or pgvector Docker, Kubernetes, ECS or containerised deployments Infrastructure as Code tools including Terraform or CloudFormation Large-scale data processing technologies such as Spark or Dask Experience working within regulated or highly secure environments Knowledge of data governance and compliance frameworks Apply for This Machine Learning Engineer Opportunity ...

kubernetes) Experience with Key value stores Experience in git and basic Unix Commands You might also have (Desirable) Experience with large data processing technologies (Apache Spark) Other helpful information Hybrid Working: At EMBL-EBI we are pleased to offer hybrid working options for all our employees. A dedicated ...

help deliver robust, secure and high-performing data products. What youll be doing: Design and build scalable data pipelines using Python, SQL, Spark and Databricks. Develop, deploy and optimise machine learning models, including NLP and generative AI solutions. Build data ingestion pipelines across batch and streaming environments. Design data … visualisations using Power BI or Tableau. Mentor junior team members and promote engineering best practices. What you need: Commercial experience with Python, SQL, Spark and modern data engineering frameworks. Experience deploying machine learning models into production. Strong knowledge of cloud platforms such as Azure, AWS or GCP. Experience with ...

like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience with API management and gateway tools and services. Experience of RESTful APIs for ingesting and exposing data. Proven track record … with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Experience in, or knowledge of, DevSecOps Tooling and Processes. Self-starter with the ability to appropriately prioritise ...

with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well ...

Data Engineer Location: London (Hybrid) Salary: Up to £75,000 + Bonus + Benefits Technology: SQL, Python, Spark - Azure, AWS, GCP - ETL/ELT - Data Governance The Opportunity Are you a Data Engineer looking for an opportunity to work on large-scale data transformation programmes whilst helping shape enterprise … data lineage. Support Data Governance initiatives, ensuring data security, privacy and compliance standards are maintained. Work with large and complex datasets using SQL, Python, Spark, Hadoop and modern data technologies. Collaborate with technical and business stakeholders within Agile delivery environments. Support data architecture and data modelling activities across enterprise ...