1 to 25 of 60 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 ...

design, build and operate reliable, scalable data pipelines and lakehouse solutions that enable analytics, AI and GenAI. You will work hands-on with Databricks, Apache Spark and the Azure data ecosystem to ingest, transform and serve trusted data products, taking ownership from development through to production support … Databricks focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage Databricks, Apache Spark and Azure services to develop and optimise batch and streaming pipelines, implement Delta Lake lakehouse patterns, and deliver well-governed data sets that ...

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 ...

focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will combine deep Databricks and Apache Spark expertise with strong client engagement skills to shape solutions from early-stage opportunity through delivery. You will lead our Databricks partnership activity … sales by contributing to discovery, solution design, estimates, and compelling client-facing materials. Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data across cloud and on-premises sources and targets. Design and oversee the delivery of secure data warehouses ...

should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure … develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What … which Azure data focused components to use for which purpose. Microsoft certified architect Databricks Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Ability to Design, Build and deploy ...

designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. Key Responsibilities Design and architect Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design … Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience ...

designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives … Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience ...

will be undertaking a monumental Transformation to unlock organisational pace and Data agility, moving to a scalable Cloud Data architecture centred around AWS Glue (Apache Spark) & Apache Airflow, with a key focus on re-engineering numerous complex Data pipelines to the new framework by leveraging Agentic … code generation in regulated environments Strong hands-on experience with AWS ecosystem: AWS Glue, S3, and related data platforms (e.g. Snowflake) Strong experience with Apache Airflow and DAG-based orchestration Experience designing configuration-driven frameworks: Using YAML or JSON Experience building automated testing for data pipelines: Functional equivalence testing ...

computer science, IT or a related field, or in bioinformatics with a demonstrated IT expertise Experience in big data technologies and frameworks, such as Apache Spark, Hadoop or similar platforms Hands-on experience with CI/CD (GitLab CI/GitHub Actions) Familiarity with Java Familiarity with Google ...

About the Job you are considering: Results-driven Hadoop Spark Data Engineer with strong expertise in designing and implementing scalable big data solutions using Scala and Apache Spark. Experienced in working with the Hadoop ecosystem, including HDFS, Hive, and YARN, to process and analyze large datasets efficiently. Skilled … Azure. Your Skills: Proficient in Scala programming with strong expertise in functional programming concepts for building scalable data applications. Extensive experience in Apache Spark (Core, SQL, and Streaming) for processing large-scale distributed data efficiently Strong knowledge of Hadoop ecosystem components including HDFS, YARN, Hive, and HBase. Skilled ...

Confident communication skills, able to convey technical concepts to non-technical stakeholders. Bonus Points For Experience with real-time streaming tools like Kafka or Spark Streaming. Exposure to MLOps practices and maintaining ML models in production. Familiarity with data visualisation tools such as Power BI, Qlik, or Tableau. Experience ...

version control. Data Engineering Stack Experience building pipelines using streaming frameworks, distributed processing engines and relational or analytical storage technologies. Examples include Kafka, Spark, PostgreSQL. Orchestration Experience defining and running data workflows using modern orchestration frameworks. Examples include Airflow, Dagster or Prefect. Data Quality and Lineage Familiarity with tools ...

largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Job you are considering: Results-driven Hadoop Spark Data Engineer with strong expertise in designing and implementing scalable big data solutions using Scala and Apache Spark. Experienced in working with … Azure. Your Skills: Proficient in Scala programming with strong expertise in functional programming concepts for building scalable data applications. Extensive experience in Apache Spark (Core, SQL, and Streaming) for processing large-scale distributed data efficiently Strong knowledge of Hadoop ecosystem components including HDFS, YARN, Hive, and HBase. Skilled ...

native solutions that support analytics, automation, and digital transformation. Data Engineering, Full Stack & Platform Development Design and implement scalable data pipelines using tools like Apache Spark, Airflow, or dbt.Build and maintain data lakes, warehouses, and real-time streaming solutions. Develop APIs and microservices to expose data securely ...

optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering ...

enterprise data strategies, optimize pipelines (ETL/ELT), and incorporate technologies such as cloud platforms (e.g., AWS GovCloud, Azure Government), Big Data tools (e.g., Spark, Hadoop), and relational/NoSQL databases for secure, performant solutions. Designs approaches for automated data labeling, lifecycle management, monitoring, real-time ingestion, and integration ...

Senior 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 skills ...

data models and ETL processes, to support the construction of scalable and efficient data systems. Familiarity with big data tools like DuckDB, Polars or Apache Spark for processing out-of-memory datasets" . Proven experience collaborating with first-team stakeholders within a professional sports environment, demonstrating strong interpersonal ...

with Airflow, Dagster or other orchestration tools Experience with data lakes (Synapse, Snowflake) Experience with Docker Experience with streaming technologies (Kafka, RabbitMQ) Experience with Spark or other big-data tools Hybrid working – 3 days per week in a central London office (Tues - Thurs) If you’re excited ...

concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with ...

data pipeline orchestration tools Containerisation (Docker, EKS, AKS, Kubernetes) Proficiency in CI/CD principles and tools Familiarity with open-source data tools (e.g., Spark, Kafka, PostgreSQL) Infrastructure as Code (Terraform, Ansible) Air-gapped development Automation Client/stakeholder management Public sector domain understanding Technical architecture Experience: You will ...

Scikit-learn AI/GenAI: prompt engineering (preferred), Claude CLI/Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs Data Tools (Optional): Pandas, NumPy, Spark APIs & Microservices development Version control (Git) Cloud & DevOps: Experience with AWS, Containers: Docker, ECS/EKS, CI/CD pipelines (GitHub Actions Or Jenkins ...

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 ...