26 to 37 of 37 PySpark Jobs in Central London

processes using AWS, Snowflake, etc. Collaborate across technical and non-technical teams Troubleshoot issues and support wider team adoption of the platform What You’ll Bring: Proficiency in Python, PySpark, Spark SQL or Java Experience with cloud tools (Lambda, S3, EKS, IAM) Knowledge of Docker, Terraform, GitHub Actions Understanding of data quality frameworks Strong communicator and team player What More ❯

ingestion to transformation and visualization • Collaborate with cloud architects, analysts, and engineers to deliver integrated solutions • Apply expertise in BigQuery, Dataflow, Composer, and other GCP-native services • Use Python, PySpark, and SQL to build scalable data pipelines • Drive data quality, governance, and performance tuning efforts across projects Ideal candidates will have: • Proven experience delivering data engineering solutions at scale … Agentic AI • Hands-on knowledge of GCP services such as BigQuery, Pub/Sub, Dataproc, Dataform, and Composer • Strong ETL/ELT experience and programming skills in Python and PySpark • Familiarity with BI tools (e.g., Looker) and CI/CD practices The Package: • £100,000 – £120,000 base salary • Annual bonus • Pension scheme & private medical If you’re looking More ❯

Leverage Azure services extensively, particularly Azure Storage, for scalable cloud solutions. Ensure seamless integration with AWS S3 and implement secure data encryption/decryption practices. Python Implementation: Utilize Python, Pyspark for processing large datasets and integrating with cloud-based data solutions. Team Leadership: Manage and mentor a team of 3 engineers, fostering best practices in software development and code … and optimize workflows, ensuring efficient and reliable operations. Required 5-7 years of experience in software development with a focus on production-grade code. Proficiency in Java, Python, and PySpark; experience with C++ is a plus. Deep expertise in Azure services, including Azure Storage, and familiarity with AWS S3. Strong understanding of data security, including encryption/decryption. Proven More ❯

and optimize workflows, ensuring efficient and reliable operations. Required: 6-10 years of experience in software development with a focus on production-grade code. Proficiency in Java, Python, and PySpark; experience with C++ is a plus. Deep expertise in Azure services, including Azure Storage, and familiarity with AWS S3. Strong understanding of data security, including encryption/decryption. Proven More ❯

s/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing More ❯

of London), United Kingdom Job Category: Other EU work permit required: Yes Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job Description: Proficiency in programming languages such as Python, PySpark, and Java SparkSQL GCP BigQuery Version control tools (Git, GitHub), automated deployment tools Google Cloud Platform services, Pub/Sub, BigQuery Streaming, and related technologies Deep understanding of real More ❯

Future Talent Pool - GCP Data Engineer, London, hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools (Git, GitHub), automated deployment tools Google Cloud Platform services, Pub More ❯

know your rate expectation. Role: Technology Lead Location: London UK (Hybrid | 3 days/week working from office) Duration: 6 months Contract Skill Sets: • Palantir Foundry • ETL • Spark • Python • PySpark • Informatica • AWS • SQL, PLSQL • Shell scripting • Data Lake • Data warehousing • Scala • Oracle • MS SQL Server • PowerBI. Thanks & Regards Milan | Talent Acquisition | Europe & UK Ampstek Services Limited Kemp House More ❯

Data Engineering Manager 💰 £110,000-£115,000 + 10% bonus 🖥️ Databricks, Snowflake, Terraform, Pyspark, Azure 🌍 London, hybrid working (2 days in office) 🏠 Leading property data & risk software company We are partnered with a leading property data & risk software company who contribute valuations, insights and decisioning technology to over 1 million mortgage approvals each year. They are looking for a … affects bottom line. You are driving their business forward, not just helping them make decisions but opening to the door to make better decisions. Tech Stack : Databricks, Azure, Python, Pyspark, Terraform. What's in it for you... 7.5% pension contribution by the company Discretionary annual bonus up to 10% of base salary 25 days annual leave + extra days … Financial Support Free Calm App membership Gym on-site Cycle to work and electric car schemes Data Engineering Manager 💰 £110,000-£115,000 + 10% bonus 🖥️ Databricks, Snowflake, Terraform, Pyspark, Azure 🌍 London, hybrid working (2 days in office) 🏠 Leading property data & risk software company More ❯

deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a bias for More ❯

Manage and maintain the chart of accounts to enable clear, consistent business reporting and scalable finance operations. Lead the development and automation of financial and operational reporting, utilising Azure, PySpark, and Power BI to provide real-time, data-driven insights. Requirements: Fully qualified accountant (ACA, ACCA, or CIMA) with strong technical grounding in financial reporting and controls. Proven experience … a SaaS or high-growth, tech-enabled business. Strong understanding of core finance processes, including monthly close, reconciliations, and oversight of financial outputs. Hands-on technical experience in Azure, PySpark, and Power BI, with the ability to build complex financial and operational dashboards. Demonstrated ability to work with senior leadership, communicate complex data clearly, and influence decisions through insight. More ❯

across different projects Working on both short and long-term projects across clustering, propensity modelling, regression, and NLP Occasionally building dashboards for clients YOUR SKILLS AND EXPERIENCE Python/PySpark experience is essential to create propensity models and clustering NLP experience is a plus Commercial awareness and insights experience is needed for this role Consulting/Retail experience is More ❯