1 to 25 of 43 Apache Spark Jobs in London

prem data platform aligned to the metals strategy while developing and maintaining scalable data pipelines and analytics infrastructure. Using Hadoop, Big Data, and Spark technologies, you will ensure data quality through automated validation, monitoring, and testing. You will also enable seamless integration across data warehouses and data lakes, contributing … detailed technical design. Hands-on experience configuring multi-node Hadoop clusters, including resource management, security, and performance tuning. Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools. Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such ...

prem data platform aligned to the metals strategy while developing and maintaining scalable data pipelines and analytics infrastructure. Using Hadoop, Big Data, and Spark technologies, you will ensure data quality through automated validation, monitoring, and testing. You will also enable seamless integration across data warehouses and data lakes, contributing … detailed technical design. Hands-on experience configuring multi-node Hadoop clusters, including resource management, security, and performance tuning. Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools. Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such ...

keys, sort keys , and workload management. Implement Redshift Spectrum to query data in S3 using external tables. 3. Data Lake & Iceberg Implement and maintain Apache Iceberg tables on AWS for schema evolution and ACID operations. Build Iceberg-based ingestion and transformation pipelines using Glue, EMR, or Spark. Ensure high … data Billing & revenue assurance Build models and pipelines to support network analytics, customer 360, churn prediction, fraud detection , etc. 7. Performance Optimization & Monitoring Tune Spark/Glue jobs for performance and cost. Monitor Redshift/Athena/S3 efficiency and implement best practices. Perform data quality checks and validation ...

downstream data services across the organisation. Key Responsibilities Design, build, and maintain data pipelines using Databricks Develop ETL/ELT processes with PySpark and Spark SQL Transform and model structured and semi-structured datasets Improve performance, reliability, and cost efficiency of data workloads Ensure compliance with data governance, security … practice routes Required Skills & Experience Active SC Clearance - mandatory and non-negotiable Strong hands-on experience with Databricks in production environments Expert knowledge of Apache Spark , including PySpark and Spark SQL Proficiency with Python for data engineering Experience delivering solutions on cloud data platforms ( AWS preferred , Azure ...

practices, including ETL/ELT, data warehousing and data modelling. - Expertise in cloud data platforms, ideally Azure services such as Data Factory, Synapse, Databricks, Spark or Snowflake. - Proficiency in Python, SQL and other relevant languages for building pipelines and enabling automation. - Experience building and managing production data services, integrating ...

Strong full-stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines . Solid understanding of data ...

Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components: o Data Factory (pipelines, orchestration) o Data Engineering (Lakehouse, notebooks, Apache Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake ...

/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills:- Experience with LLMs/Generative AI (OpenAI, Hugging Face ...

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 ...

sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

/CD (Azure DevOps/GitHub). Excellent communication with technical and non-technical stakeholders. Desired Skills Power BI/Tableau Stakeholder management Spark/Hadoop Unit testing frameworks Azure advanced analytics Data warehousing experience Azure Data Engineer certification Agile/Scrum/Kanban exposure This is a London ...

Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing (e.g., Spark, Dask). Qualifications & Experience Experience: 5+ years in a software or data engineering role, with at least 3 years specifically focused on the deployment and scaling ...

machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases, including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient ...

machine learning workflows, model lifecycle management, or data engineering platforms.• Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks).• Familiarity with banking or financial domain use cases, including data governance and compliance-focused development.• Knowledge of platform security, monitoring, and resilient ...

able to engage technical and non-technical stakeholders Nice to Have: Experience with modern analytics and BI platforms Knowledge of big data technologies (e.g. Spark, Hadoop) Experience with real-time or event-driven architectures Familiarity with data cataloguing and lineage tools Experience working in regulated or data-sensitive environments ...

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 ...

DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call - high-level overview ...

uplift practices and delivery maturity. Required Technical Skills & Expertise AWS Data & Analytics (Hands-On Expertise) AWS Glue (ETL/ELT development, PySpark, Glue Catalog) Apache Spark AWS Redshift (modelling, optimisation) AWS Lambda AWS RDS AWS Step Functions Experience with Open Table Formats: Delta Lake Apache Hudi Strong ...

models, transformers, retrieval models). Hands-on experience with LLMs and GenAI technologies. Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive. Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation ...

from classical statistics and regression to deep learning and NLP. Data Engineering: Proficiency in SQL and experience working with modern data stacks (e.g., Snowflake, Spark, or cloud-native tools on AWS/GCP/Azure). Scientific Rigor: A strong foundation in the scientific methodforming hypotheses, designing experiments ...

+ 10% bonus + benefits Purpose: Build and maintain large, scalable Data Lakes, processes and pipelines Tech: Python, PySpark, AWS, Iceberg/Kafka, Spark/Glue, CI/CD Industry: Financial services/securities trading Immersum continue to support a leading SaaS securities trading platform, who are hiring … Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such ...

Data Science Strong Python skills and experience with cloud platforms (AWS, GCP, or Azure) Experience building and deploying production ML systems Familiarity with Databricks, Spark, or MLOps workflows (nice to have but not essential) Solid understanding of modern ML methods and data engineering fundamentals Strong academic background (ideally Russell ...

resolve performance, reliability, and consistency issues in existing AWS data pipelines. Optimise and refactor pipelines using AWS Glue, Amazon Athena, AWS Lambda, and Apache Iceberg . Simplify existing data architecture to improve maintainability and reduce operational overhead. Assess and advise on converting Iceberg datasets into optimised Parquet formats. Implement … experience with AWS data services, including: AWS Glue (ETL jobs, crawlers, Data Catalog) Amazon Athena (query tuning, partitioning strategies) AWS Lambda (event driven workloads) Apache Iceberg (schema evolution, table formats, time travel) Deep understanding of Parquet, Iceberg, ORC and performance trade offs. Proven track record of diagnosing and resolving ...

/CD , Git-based workflows, and automation Strong problem-solving skills and a collaborative mindset Bonus Terraform or other IaC tools Slurm, Kueue, Ray, Spark, or similar systems GPU tooling (CUDA, Nvidia operators, schedulers) Experience supporting ML training or data science teams ...

inference . Proven experience in building and deploying ML models (forecasting, classification, regression, time-series, recommendation systems, etc.). Familiarity with big data technologies (Spark, Hadoop, or similar) is a plus. Excellent problem-solving and communication skills, with the ability to influence cross-functional stakeholders. Why Join Us Opportunity ...