20 of 20 Apache Spark Jobs in London

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 ...

Python for data engineering tasks. * Experience with cloud platforms such as AWS, Azure, or GCP. * Hands-on experience with data technologies including Apache Spark, Databricks, Kafka, Airflow, Snowflake, and Hadoop ecosystems. * Experience designing and maintaining data warehouses and data lakes. * Knowledge of DevOps and CI/CD tooling ...

environments. Desirable: AWS certifications (Data Analytics Specialty or Solutions Architect Associate). Experience with Airflow for orchestration. Exposure to big data frameworks such as Spark, Hadoop, or Presto. Experience supporting AI/ML data pipelines. ...

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 ...

Collaborate with senior developers and quantitative teams on new analytics capabilities Participate in debugging, testing, and production support activities Technology Environment Python Databricks/Apache Spark SQL Pandas/NumPy Git REST APIs Cloud technologies (Azure or AWS) Numerix (or equivalent pricing/risk platform) Jupyter/notebook … commercial Python development experience Strong understanding of data structures and software engineering fundamentals Experience working with data engineering or analytics tooling Exposure to Databricks, Spark, or cloud-based data platforms Understanding of SQL and relational databases Excellent problem-solving and communication skills STEM or Computer Science degree preferred Nice ...

capacity planning, skills development, and vendor contributions The individual: Expertise in Azure data services (ADLS, ADF, Databricks, Synapse, Event Hub/Kafka), Python, SQL, Spark/PySpark. Experience with data modeling, metadata and lineage tooling; performance & cost optimization. Proven leadership in engineering teams; Agile/DevOps ways of working ...

experience with SQL and data modelling concepts Strong analytical and problem-solving skills Nice to Have Skills Experience with data pipeline tools (Airflow, Kafka, Spark) Knowledge of cloud platforms (AWS, Azure or GCP) Familiarity with relational and NoSQL databases Additional programming experience (Python, Scala) Essential Requirements Active SC Clearance ...

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). ...

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). ...

internal knowledge Competencies and Behaviours: 3+ years experience in data platform engineering, cloud engineering, or similar roles Strong hands-on experience with Databricks, including Apache Spark, Delta Lake, Workflows Proven experience designing and deploying data platforms on AWS and/or Azure (e.g. ADLS, S3, VNet/ ...

bring: Strong SQL + ETL/ELT experience Knowledge of Python/T-SQL Exposure to cloud platforms (Azure preferred) Nice to have: Databricks, Spark, CI/CD, big data This is a great opportunity to join a high-impact data team in a global organisation and shape ...

Prometheus, ElasticSearch , Grafana, OpenTelemetry ) for metrics, logs and traces Platform Technologies & BSS Vendor Platforms - Open source workflow engines (Temporal) - Stream/batch processing (Flink, Spark) - Test automation: Robot Framework and BDD - can review BDD robot files - BSS vendor platforms: Salesforce, Amdocs, Ciena - BSS/OSS proficiency: awareness of Product ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred ...

large-scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward ...

Spring, Spring Boot Experience working with DevOps methodologies and scalable CI/CD pipelines Microservices Architecture Exposure to Big Data technologies such as: Kafka, Spark, Hadoop etc Strong understanding of clean code principles Experience working with AWS Cloud Kotlin experience (preferred ...

with Git, Python, and Ansible Familiarity with containers (Docker, Kubernetes, LXC) Experience with monitoring tools and SQL databases Exposure to big data systems (e.g., Spark, HDFS, Airflow) Summary A great opportunity for someone who enjoys solving complex infrastructure challenges, automating systems, and working closely with engineering teams. Spectrum ...

tooling and working with large transactional datasets • Understanding of OTC products including CDS, Interest Rate Swaps and Variance Swaps Highly Desirable • Experience with C++, Spark, Kafka or other distributed compute tools • Exposure to position keeping, risk, or PnL systems • Strong debugging, profiling and optimisation capability across data pipelines ...

handling edge cases, improving data quality and solving complex data challenges. The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. You will also have the opportunity to support and mentor other engineers through collaboration, code reviews … Looking For Strong Python and SQL expertise gained within large scale production environments Experience delivering complex data transformation projects end to end Experience with Spark, Snowflake, BigQuery or similar technologies Exposure to cloud environments such as AWS, GCP or Azure Comfortable working with large, messy and evolving datasets Experience ...

Responsibilities Define and drive enterprise-wide cloud and data architecture strategies, roadmaps, and governance frameworks aligned to business objectives. Design and implement scalable, secure, and resilient cloud-native solutions across Microsoft Azure Azure, Amazon Web ...