126 to 150 of 187 Apache Spark Jobs in London

consulting 8+ years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical depth and business insight Passion More ❯

consulting 8+ years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical depth and business insight Passion More ❯

consulting 8+ years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical depth and business insight Passion More ❯

consulting 8+ years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical depth and business insight Passion More ❯

Collaborate across multidisciplinary teams to deliver project goals 1+ years experience in a data-related role (Analyst, Engineer, Scientist, Consultant, or Specialist) Experience with technologies such as Python, SQL, Spark, Power BI, AWS, Azure, or GCP More ❯

or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python or R for automation, experimentation, or analytics. Proactive, growth-oriented mindset and comfort working across multiple projects in a fast-paced, global environment. More ❯

3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to More ❯

3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to More ❯

You are proficient in Python, with experience using PySpark and ML libraries such as scikit-learn, TensorFlow, or Keras . You are familiar with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, GCP), and can effectively communicate technical concepts to non-technical stakeholders. Accommodation requests If you need assistance with any part of the application or recruiting process More ❯

Focus Areas Strong experience with .NET/C# (backend-focused) Hands-on with analytical databases such as ClickHouse, SingleStore, Rockset, or TimescaleDB Experience with open-standard data lakes (e.g. Apache Iceberg, Delta Tables, Apache Spark, column stores) Comfortable working with large-scale data ingestion and processing (batch or streaming) Data Developer – Hybrid - £800/day Inside IR35 More ❯

Focus Areas Strong experience with .NET/C# (backend-focused) Hands-on with analytical databases such as ClickHouse, SingleStore, Rockset, or TimescaleDB Experience with open-standard data lakes (e.g. Apache Iceberg, Delta Tables, Apache Spark, column stores) Comfortable working with large-scale data ingestion and processing (batch or streaming) Data Developer – Hybrid - £800/day Inside IR35 More ❯

re looking for a Lead Data Analyst to join our Data & Analysis team. This role isn’t just about crunching numbers – it’s about using data to tell stories, spark ideas, and make real impact. You’ll guide how we use data to make decisions, help shape our data culture, and mentor others to grow in confidence and skill. More ❯

re looking for a Lead Data Analyst to join our Data & Analysis team. This role isn’t just about crunching numbers – it’s about using data to tell stories, spark ideas, and make real impact. You’ll guide how we use data to make decisions, help shape our data culture, and mentor others to grow in confidence and skill. More ❯

re looking for a Lead Data Analyst to join our Data & Analysis team. This role isn’t just about crunching numbers – it’s about using data to tell stories, spark ideas, and make real impact. You’ll guide how we use data to make decisions, help shape our data culture, and mentor others to grow in confidence and skill. More ❯

re looking for a Lead Data Analyst to join our Data & Analysis team. This role isn’t just about crunching numbers – it’s about using data to tell stories, spark ideas, and make real impact. You’ll guide how we use data to make decisions, help shape our data culture, and mentor others to grow in confidence and skill. More ❯

and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to handle large data volumes with modern data processing tools (e.g., Hadoop/Spark/SQL). Experience with or ability to learn open-source software including machine learning packages (e.g., Pandas, scikit-learn) and data visualization technologies. Experience in the retail sector More ❯

engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform … project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world More ❯

engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform … project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world More ❯

engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform … project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world More ❯

engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform … project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world More ❯

learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production-ready models. Curiosity, pragmatism, and the mindset to solve More ❯

learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production-ready models. Curiosity, pragmatism, and the mindset to solve More ❯

learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets financial or otherwise and turn them into production-ready models. Curiosity, pragmatism, and the mindset to solve More ❯

learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production-ready models. Curiosity, pragmatism, and the mindset to solve More ❯

learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production-ready models. Curiosity, pragmatism, and the mindset to solve More ❯