76 to 100 of 103 Apache Spark Jobs in the Thames Valley

a growing business. Requirements: Strong experience with Python (2+ Years) Experience working with REST Microservices Strong SQL Experience working with very large data sets. Knowledge of big data tools (Spark, Kafka etc) Experience working in finance (Preferred) Strong formal education - ideally in Computer Science If this sounds of interest, then please do not hesitate to apply ASAP! Interviews taking More ❯

or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please note - this role cannot offer visa sponsorship. #J-18808-Ljbffr More ❯

also a plus. Proficient in statistical modelling and ML techniques, including regression, Bayesian inference, and probabilistic programming. Experience with PyMC, MCMC methods, and scenario-based optimization. Strong SQL (or Spark) skills for large-scale data extraction and preparation. Solid foundation in statistical theory and applied mathematics. Experience working in cloud-based environments (preferably Azure). Advanced degree (MSc/ More ❯

of experience in Data Management, Biostatistics, and Centralized Monitoring At least 2 years of experience in SAS and at least one of the following: R, Python, Jupyter, SQL, Shiny, Spark and associated packages and libraries Full professional proficiency in English Strong analytical and logical thinking Communication and collaboration skills Nice to have: Experience with CluePoints RBM system and ELT More ❯

services (Azure, GCP OR AWS). Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data pipelines, and big data technologies (e.g., Spark, Kafka). Ability to define and enforce data governance standards. Experience in providing architectural guidance, mentorship and leading cross-functional discussions to align on architectural decisisions. Interview Process: Final More ❯

systems Experience with cloud platforms (GCP, AWS or Azure), especially managed ML services like SageMaker or Vertex AI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs, transformers, text classification Familiarity with Graph ML (e.g., for customer network analysis or fraud detection More ❯

and how data supports operational outcomes. Strong coding ability with SQL and Python, as well as experience working with data orchestration tools like Airflow or Dataform. Commercial experience with Spark and Databricks. Familiarity with leading integration and data platforms such as Mulesoft, Talend, or Alteryx. A natural ability to mentor others and provide technical leadership across multi-functional teams. More ❯

code Desired Skills (Bonus Points): Proven experience in recommender systems, behavioural AI, and/or reinforcement learning. Building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). PhD in Computer Science, Machine Learning, or a closely related field What We Offer: Opportunity to build technology that will transform millions of More ❯

with the Senior Database Engineer to improve the integrity of our key data assets. This is also an opportunity to gain exposure to our new modern technology stack including Apache Spark, Kafka & Delta-lake, as part of our data engineering strategy. Key Responsibilities Monitoring system performance & identification of issues Documenting database setup & operations Automated alerting/reporting for More ❯

on cutting-edge blockchain data infrastructure in a highly dynamic environment. What We're Looking For: 5+ years of engineering experience Strong expertise in data engineering: – Proficient in Python , Spark – Advanced SQL skills Proven experience with data ingestion pipelines Hands-on with cloud platforms – ideally AWS Solid experience working with Big Data and time series databases You’ll be More ❯

real-time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. Skilled collaborator with excellent stakeholder and vendor management capabilities. Confident communicator with the ability to bridge technical and business audiences. London – Hybrid Circa £550pd Outside IR35 More ❯

contribute to technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking and engineering craft over buzzword familiarity.) What they More ❯

contribute to technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking and engineering craft over buzzword familiarity.) What they More ❯

preferred Experience of working with data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous. Experience of data processing platforms such as Kafka and Spark would also be useful Strong experience with Python, with any additional skills with R and/or C++ of benefit Experience of building a scalable architecture/infrastructure using More ❯

Proven experience designing or delivering large-scale pricing, AI or recommendation systems. Deep technical knowledge of ML frameworks (TensorFlow, PyTorch), cloud platforms (AWS, GCP, Azure), and big data tools (Spark, Hadoop). Demonstrated success in building business-critical, real-time algorithmic solutions. Strong communication and stakeholder engagement skills – translating complexity into business value. A commercial, data-led mindset and More ❯

under pressure Nice to Have (But Not Dealbreakers) If you’ve worked with any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer More ❯

the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? You'll More ❯

Bayesian Data Scientist Location: London (Hybrid Working) Contract Type: Initial 12 month contract + potential to extend long-term due to 3/4 year project scope. Start Date: ASAP We have an excellent opportunity for a Bayesian Data Scientist More ❯

Engineer £85,000 Remote (travel into London a few times a year) My client are looking for an individual that has the following (practical working experience needed): Python (PySpark) Apache Spark Kafka (Event Driven Architecture) **Please note, my client are only looking for candidates based within the UK** Get in touch now More ❯

e.g., GDPR, CCPA, SOC). Preferred Experience Proficiency in SQL, data modeling, ETL processes, and modern data warehousing. Experience with functional programming and real-time stream processing (e.g., Flink, Spark Streaming, or similar). Demonstrated ability to handle production environments processing tens of thousands of events per second from diverse sources. This is an opportunity to join a mission More ❯

equivalent UCAS points (please ensure A-Level grades are included on your CV). Basic scripting knowledge in Python or Bash Excellent customer-facing skills You have a sales spark - while this role isn't a focussed sales role, this is required due to the nature of the role A motivated self-starter with a problem-solving attitude Strong More ❯

Pattern . Join our community. We are the Insurance and Asset Management product IT team, delivering and maintaining applications across various technologies, including online applications (APIs, Microservices), batch processes (Spark/Scala-Hadoop/Big Data Ecosystem), and legacy components. Our main objective is to deliver innovative solutions that meet business requirements, enabling us to sell Insurance and Wealth More ❯

scalable, geographically distributed and high availability architectures Background creating reporting and reconciliation applications Undertsanding of OTC products with CDS, Interest Rate Swaps, Variance Swaps etc. needed Expertise with C++, Spark, Kafka would be hugely beneficial The key skillset is Python, but your expertise should extend to managing large datasets with PostgreSQL, and you should be well-versed in trade More ❯

models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets using SQL and Spark Have in depth understanding of statistical modelling techniques and their mathematical foundations, Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge More ❯

Security, Computer Science, or related fields. Possess offensive and defensive thinking with an understanding of mainstream security threats and defense strategies. Proficient in data analysis tools such as SQL, Spark, Python. Excellent project management skills with experience in large-scale internet operations, microservice architecture, big data analysis, and security compliance is a plus. More ❯