101 to 119 of 119 Permanent PySpark Jobs

systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data … analytical skills Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Hands-on expertise with Spark/PySpark and big data processing technologies Knowledge of open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model ...

locks and idempotency patterns. Serverless Framework v3, Docker (container-based Lambdas), Terraform, Jenkins CI/CD. Apache Airflow DAG authoring and AWS Glue with PySpark for batch ETL. pytest and moto (offline AWS service mocking), Black formatter, ruff linter. Datadog APM tracing and structured JSON logging with Lambda Powertools. … infrastructure experience: Serverless Framework v3, Terraform, ECR, IAM. Experience deploying Docker container-based Lambda functions. Data engineering background with Airflow DAGs and PySpark/Glue ETL pipelines is an advantage. Multi-tenant SaaS platform experience at scale is desirable. Familiarity with telecom, OEM device management, or IoT platforms ...

Staff Data Engineer | AWS | PySpark | Data Modernisation | London | Contract | Inside IR35 We're supporting a global, technology‐led organisation undertaking a large‐scale cloud data transformation programme. This is not a traditional data engineering role. The organisation is modernising hundreds of complex data pipelines, establishing reusable engineering patterns … culture. Responsibilities Defining technical standards and engineering patterns for a large‐scale data modernisation programme Re‐engineering complex legacy data pipelines into production‐grade PySpark Building scalable, reusable data movement frameworks across multiple engineering teams Driving best practice around AWS Glue, Apache Spark and Apache Airflow Designing high‐quality ...

within the Lloyd’s marketplace Good understanding of tools and platforms used across the Lloyd’s insurance ecosystem Architect and optimize data solutions using PySpark and Datamart (GOS – Oracle as a Service). Develop and maintain data platforms leveraging Snowflake and Azure services (Blob Storage, Data Lake, Synapse Analytics … standards and best practices. Requirements: Proven experience in data engineering and architecture with strong expertise in ETL/ELT processes. Hands-on experience with PySpark, Snowflake, and Oracle-based data solutions. Proficiency in Azure ecosystem: Blob Storage, Data Lake, Synapse Analytics, Databricks, Functions, and Monitor. Strong understanding of data ...

required for the domain's data products, using the tools and guardrails provided by the Enablement team. Expected Skills : Advanced coding in Python and PySpark, strong SQL, expertise in building declarative pipelines (eg; Delta Live Tables), version control (Git), automated testing (eg; Pytest), and CI/CD deployment practices … automate data pipelines to ingest, transform, and model data specific to the squad's use cases. Write structured, scalable code (eg; Python/PySpark/SQL) and apply software engineering best practices, including version control (Git) and automated testing. Work closely with the Platform Enablement team to package their ...

data setsProgramming experience (focus on machine learning): SQL and Python’s Data Science stack; good knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus. R, SPSS, and SAS are considered nice-to-haveStrong understanding of machine learning methods and experience applying them … technologies into production or applied business environments is a plusWhile we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such ...

seeking an experienced Cloud Data Engineer to design, build, and maintain scalable cloud-based data platforms and analytics solutions using AWS, Snowflake, dbt, PySpark, and SQL. The role focuses on ETL/ELT development, data warehousing, performance optimization, and regulatory domain experience, with hybrid work blending company offices, client ...

Data Scientist (Python, PySpark, Healthcare Analytics) Contract: Initial 2 Months (Mid-September – Mid-November) Location: Remote (UK) with 1 day per week in London (2–3 days preferred) We are seeking an experienced Data Scientist to join a high-profile digital transformation programme focused on building innovative products … Work with large and complex datasets to generate actionable insights. Required Skills Strong commercial experience as a Data Scientist. Expert knowledge of Python and PySpark (essential). Experience designing and building analytics/data pipelines. Strong SQL skills and experience working with large datasets. Experience developing and deploying machine ...

Logging, tracking and managing defects through to resolution Contributing to testing strategies, quality frameworks and continuous improvement initiatives Supporting testing activities within Databricks and PySpark environments SKILLS AND EXPERIENCE The successful Data QA Engineer will have the following skills and experience: Experience in a Data QA, Software Testing … Quality Assurance role Strong experience testing data platforms, pipelines and data products Hands-on experience with Databricks, SQL, Python and PySpark Strong stakeholder communication and collaboration skills Able to work independently and take ownership of testing activities and quality standards BENEFITS The successful Data QA Engineer will receive ...

Logging, tracking and managing defects through to resolution Contributing to testing strategies, quality frameworks and continuous improvement initiatives Supporting testing activities within Databricks and PySpark environments SKILLS AND EXPERIENCE The successful Data QA Engineer will have the following skills and experience: Experience in a Data QA, Software Testing … Quality Assurance role Strong experience testing data platforms, pipelines and data products Hands-on experience with Databricks, SQL, Python and PySpark Strong stakeholder communication and collaboration skills Able to work independently and take ownership of testing activities and quality standards BENEFITS The successful Data QA Engineer will receive ...

Logging, tracking and managing defects through to resolution Contributing to testing strategies, quality frameworks and continuous improvement initiatives Supporting testing activities within Databricks and PySpark environments SKILLS AND EXPERIENCE The successful Data QA Engineer will have the following skills and experience: Experience in a Data QA, Software Testing … Quality Assurance role Strong experience testing data platforms, pipelines and data products Hands-on experience with Databricks, SQL, Python and PySpark Strong stakeholder communication and collaboration skills Able to work independently and take ownership of testing activities and quality standards BENEFITS The successful Data QA Engineer will receive ...

Logging, tracking and managing defects through to resolution Contributing to testing strategies, quality frameworks and continuous improvement initiatives Supporting testing activities within Databricks and PySpark environments SKILLS AND EXPERIENCE The successful Data QA Engineer will have the following skills and experience: Experience in a Data QA, Software Testing … Quality Assurance role Strong experience testing data platforms, pipelines and data products Hands-on experience with Databricks, SQL, Python and PySpark Strong stakeholder communication and collaboration skills Able to work independently and take ownership of testing activities and quality standards BENEFITS The successful Data QA Engineer will receive ...

pricing models with advanced data science techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers … Street Pricing. What we’re looking for: Experience in general insurance pricing with strong modelling skills. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics ...

structured investigations or prototypes.Curiosity and a learning mindset — tracking state-of-the-art advancements and evaluating their relevance.Strong data manipulation and engineering skills (e.g., PySpark, SQL, cloud-based data tooling).Strong communication skills, capable of explaining complex ideas to technical and non-technical audiences.Collaborative approach to working with … publications, workshops, industry collaborations).Familiarity with vector databases, embeddings, and retrieval techniques.Experience Working on large datasets (efficient loading, batching, and streaming) and related tooling (PySpark preferred).What you can expect from usWe won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards ...

prototypes. Curiosity and a learning mindset - tracking state‐of‐the‐art advancements and evaluating their relevance. Strong data manipulation and engineering skills (e.g., PySpark, SQL, cloud‐based data tooling). Strong communication skills, capable of explaining complex ideas to technical and non‐technical audiences. Collaborative approach to working with … industry collaborations). Familiarity with vector databases, embeddings, and retrieval techniques. Experience Working on large datasets (efficient loading, batching, and streaming) and related tooling (PySpark preferred). What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy ...

prototypes. Curiosity and a learning mindset - tracking state-of-the-art advancements and evaluating their relevance. Strong data manipulation and engineering skills (e.g., PySpark, SQL, cloud-based data tooling). Strong communication skills, capable of explaining complex ideas to technical and non-technical audiences. Collaborative approach to working with … industry collaborations). Familiarity with vector databases, embeddings, and retrieval techniques. Experience Working on large datasets (efficient loading, batching, and streaming) and related tooling (PySpark preferred). What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy ...

champion best practice methods; upskill the team through coaching and code reviews. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels. Collaborate with Modelling, Optimisation … insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software and optimisation tools. A quantitative degree ...

data products — from client scoping and solution design to execution and ongoing delivery. Ensure high analytical and technical standards across the team, including SQL, PySpark, Python, and data validation best practices. Act as an escalation point for complex analytical challenges, providing hands-on guidance where needed. Partner closely with … perfect job for someone who has: Proven experience managing and mentoring data analysts or analytics teams. Strong hands-on experience with SQL and PySpark for data analysis — Must. Strong Python scripting experience — Must. Excellent communication skills in English, with the ability to translate complex analysis into clear business insights. ...

Technology Solutions Ltd. is seeking a Staff Data Engineer in London to lead modernisation of large-scale data pipelines. You will blend hands-on PySpark and Python with enterprise-wide technical influence across multiple teams. In this contract role, expect to define standards, build reusable data movement frameworks ...