16 of 16 Apache Spark Jobs in the South East

Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will … Work across Azure environments on the low side Support data engineering workloads within Kubernetes environments on the high side Develop and maintain workflows using Apache Airflow Work with Apache Spark for large-scale data processing Support the ongoing development and improvement of established data pipelines Help ensure ...

evolution of data architecture and help shape the organisations data engineering capabilities. Key Responsibilities Design, build and optimise scalable data pipelines using Databricks, Apache Spark and Python. Develop and maintain robust ELT processes to ingest, transform and integrate data from multiple sources. Contribute to the design and evolution … platform performance. Essential Skills & Experience Strong hands-on experience with Databricks . Proven experience designing, implementing and optimising data pipelines. Strong knowledge of Apache Spark and Python . Understanding of Lakehouse architecture and modern data engineering principles. At least five years experience across ELT, data engineering and data ...

help design and deliver cutting-edge data solutions for customers operating in some of the UK's most complex and challenging environments. Using Databricks, Apache Spark and cloud-native technologies, you’ll develop scalable Lakehouse architectures and production-grade data pipelines that enable organisations to trust, share … opportunity to grow your career while helping customers unlock the power of their data. Responsibilities Design, build and optimise scalable data pipelines using Databricks, Apache Spark, PySpark and Delta Lake. Develop and implement modern Lakehouse architectures, applying Medallion (Bronze, Silver, Gold) design principles to support trusted and reusable ...

Testing Guild with common standards such as metrics and use of test tools Here’s a snapshot of the technologies that we use: Scala Apache Spark Databricks Apache Parquet Azure Cloud Platform Azure DevOps (Test plans, Backlogs, Pipelines) GIT We’d love to hear from ...

common technical standards and ways of working, and presenting these to the community Here’s a snapshot of the technologies that we use: Scala Apache Spark Databricks Apache Parquet Azure Cloud Platform Azure DevOps (Test plans, Backlogs, Pipelines) GIT What we’re looking for We’d love ...

with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with ...

experience working with Data A strong understanding of data integration techniques and solution/performance optimisation Excellent understanding and knowledge of SQL, Python or Spark Apply relevant data modelling techniques (e.g. STAR, Snowflake) Excellent Communication and Teamwork Skills Coaching and mentoring experience Technologies & Experience Desired: Git and JIRA software ...

GenAI infrastructure and workflows Skills and experience: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end‐to‐end data modelling experience Experiencebuilding batch and real-time data integrations Hands-onCICD skills with ...

skills in Python, and experience with Java or Scala. Data Engineering at Scale: Solid ELT/ETL design experience and hands-on work with Apache Spark. Bonus points if you have: Multi-Cloud Exposure: Experience with Azure alongside GCP. Container Orchestration: Experience packaging and deploying workloads with Helm ...

Scale processing across distributed cloud warehouses/storage via container orchestration (e.g. Kubernetes), High-Performance GPU Compute (e.g. Slurm), or distributed compute frameworks (e.g. Spark, Ray). Contribute to an engineering culture that values maintainability, testing, robust system design, and deep collaboration, but allows flexibility for rapid prototyping ...

model validation. Experiment tracking and reproducibility tools, for example MLflow, Weights & Biases or equivalent. Data wrangling and analysis using Pandas, NumPy, SQL; familiarity with Spark or similar is a plus. Model optimisation and research-to-prototype deployment fundamentals, including ONNX, TorchScript, FastAPI/gRPC and GPU acceleration, with CUDA ...

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 ...

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 ...

Envitia is seeking a Senior Data Engineer to design and deliver cutting-edge data solutions for customers in the UK. Using Databricks, Apache Spark and cloud-native technologies, you’ll build scalable Lakehouse architectures and production-grade pipelines that enable organisations to trust and share data. ...

engineering practices to multi-disciplinary teams. Desirable Skills, Qualifications & Experience: Experience leveraging Kubernetes for application deployment, and familiarity with distributed computing frameworks (e.g., Ray, Spark), or specialised batch schedulers/resource managers (e.g., Slurm, Volcano, Kueue). Demonstratedexpertisewith specialised serving engines (e.g.,vLLM,SGLang) or techniques for deploying models ...

deploying scalable data platforms end-to-end on AWS and/or Databricks. Production Coding: Strong, hands-on production experience with Python, SQL, Spark, and Databricks or AWS data tools. Consulting/Client Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability …/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...