1 to 25 of 50 Remote Apache Spark Jobs

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 ...

role We are seeking a high‐skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark‐based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build … teams to architect and manage robust, production‐grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high‐performance solutions. The ideal candidate is a proactive ...

professionals with strong Python development expertise, cloud engineering experience, and exposure to modern DevOps and data engineering practices. Must Have: AWS services; Terraform; Apache Spark; Python; Apache Airflow; Docker; GitLab; Security scanning agent; Jupyter; Notebooks; Key Responsibilities Design, develop, and maintain scalable Python applications and services Build … optimize cloud-native data processing pipelines Develop and manage workflows using orchestration tools such as Airflow Work with large-scale data processing frameworks including Apache Spark Deploy and maintain containerized applications using Docker Implement infrastructure automation using Terraform Integrate solutions with enterprise data and secure file transfer systems ...

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 ABOUT THE CLIENT Due to continued growth, we're seeking a skilled Data Engineer … 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 ...

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 ...

optimizing data pipelines and cloud resources on Google Cloud Platform (BigQuery) for cost-effective, high-performance processing; • Engineering scalable ingestion and transformation processes using Apache Spark, Spark SQL, and Python, orchestrated with Apache Airflow; • Developing advanced SQL queries and performing query optimization on large-scale data ...

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. ...

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 ...

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 ...

Extensive expertise in architectural design and oversight of both distributed and non-distributed compute architectures, with deep proficiency in languages such as Python, SQL, Spark, and Scala. Deep understanding of architectural implementations for intelligent solutions (Machine Learning, Agentic AI etc). Experience architecting CI/CD and MLOps frameworks ...

Extensive expertise in architectural design and oversight of both distributed and non-distributed compute architectures, with deep proficiency in languages such as Python, SQL, Spark, and Scala. Deep understanding of architectural implementations for intelligent solutions (Machine Learning, Agentic AI etc). Experience architecting CI/CD and MLOps frameworks ...

data estate. Deep expertise in Microsoft Azure cloud services — ADF, ADLS, Synapse, Purview. Databricks — Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large‐scale distributed computing and performance tuning. Microsoft Fabric — OneLake and DirectLake integration. Azure Synapse Analytics for enterprise‐scale data warehousing. Infrastructure ...

data estate. Deep expertise in Microsoft Azure cloud services — ADF, ADLS, Synapse, Purview. Databricks — Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large‐scale distributed computing and performance tuning. Microsoft Fabric — OneLake and DirectLake integration. Azure Synapse Analytics for enterprise‐scale data warehousing. Infrastructure ...

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 ...

Databricks Platform & Data Engineering Maintain and optimise an existing Databricks environment, ensuring reliability, performance, and cost‐effectiveness Design, build, and enhance data pipelines using Spark and Databricks best practices Develop scalable, reusable data engineering patterns to support multiple data domains Monitor and troubleshoot pipeline failures, performance bottlenecks, and data … Improvement ·Continuously improve pipeline performance, reliability, and maintainability ·Identify opportunities to automate, standardize or simplify data engineering workflows ·Stay up to date with Databricks, Spark and cloud data engineering best practices Essential Skills & Experience ·Proven experience as a Data Engineer working in a modern cloud data platform ·Strong hands ...

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 ...

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 ...

Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems (Git). ...

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/ ...

Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting ...

such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance ...

Cloud engineering: Azure (preferred) and/or AWS/GCP; Kubernetes/Docker; serverless (Azure Functions/Lambda); secure networking/IAM. Data engineering: Spark/Databricks, ETL/ELT pipelines; integration with client data sources and enterprise systems; runbooks and operational handover. Product delivery: workshop facilitation, PRDs, user ...

batch data processing systems for voice compliance assurance Low‐latency record matching and reconciliation engines handling billions of events Scalable data services operating across Spark, Kafka, Hive and Hadoop Production‐grade pipelines supporting regulatory evidence, audit and controls Foundations for near‐real‐time compliance signal generation across global voice … platforms Key Responsibilities Design and develop high‐performance distributed systems for large‐scale voice data processing Build and optimise Spark‐based processing jobs for high‐volume and high‐frequency workloads Engineer Kafka‐based streaming pipelines with strong delivery guarantees and low end‐to‐end latency Develop robust data matching ...

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 ...