51 to 75 of 115 PySpark Jobs

engineering within distributed systems Proven ability to build and optimise data pipelines at scale Solid Python skills with exposure to tools such as Spark, PySpark, and Hadoop Strong understanding of data ingestion and batch processing methodologies Experience with text or unstructured data is advantageous but not essential A hands ...

other MLOps and ML Lifecycle stacks Experience with Docker and Kubernetes Experience in creating production grade coding Experience in programming languages (eg Python, PySpark, R, SAS, SQL) Experience in GitHub Strong communication skills both verbally and written ...

TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). Knowledge of CI/CD principles in ML environments. Experience with ...

joins, transformations, stored procedures, and performance basics 3+ years Azure Data Factory, including pipeline development, parameter usage, and basic templates 3+ years Databricks experience (PySpark, Delta Lake, notebooks) 2+ years Python Experience Experience working with data warehouses and structured modelling concepts Strong understanding of ETL/ELT practices … data centric engineering Desirable Exposure to metadata driven or config driven engineering practices Basic PySpark optimisation or Delta Lake performance tuning Experience using Azure DevOps (repos, pipelines) Understanding of data governance, data quality tooling, or lineage concepts Experience in regulated environments or financial services The Application Timeline A first ...

support reporting, analytics, and business operations. This includes developing ETL/ELT workflows using both low-code tools and code-based approaches (SQL, Python, PySpark), ensuring performance, scalability, and reliability across the data platform. You will take ownership of data modelling and architecture , designing scalable data warehouse and lakehouse … understanding of data modelling (star schema, dimensional modelling, lakehouse design) Experience building and optimising ETL/ELT pipelines using SQL, Python, and/or PySpark Knowledge of data governance, quality, and security best practices Experience implementing CI/CD pipelines and DevOps practices Ability to work independently and manage ...

Architecture . Build and optimize batch and real-time data pipelines across underwriting, pricing, claims, reinsurance, and bordereaux data. Develop scalable solutions using Python, PySpark, Databricks, and/or Snowflake . Integrate data from policy administration systems, claims platforms, broker systems, third-party providers, and market feeds. Ensure strong … background in Insurance , ideally within the London Market ecosystem. Deep knowledge of underwriting, claims, delegated authority, pricing, and reinsurance. Hands-on expertise in Python, PySpark, Databricks, Snowflake, SQL . Experience with Azure, AWS, or GCP . Strong understanding of batch/streaming pipelines and data modelling. Familiarity with DevOps ...

direction, maintaining standards, and driving output Designing and delivering data solutions across platforms, including low/no-code tooling and code-based approaches (Python, PySpark, SQL) Overseeing the development of user-facing applications and workflows using TypeScript and React Acting as the primary client interface, shaping requirements and translating ...

growing data team What they’re looking for: Strong experience with modern data platforms (Microsoft Fabric a big plus) Solid skills in Python/PySpark and SQL Experience integrating data from APIs and SaaS platforms A problem-solver who enjoys working at the intersection of tech and business ...

ownership of client problems, handling everything from deep data engineering knowing that may require low/no code Palantir Foundry tooling, or Python and PySpark code repos - to building user-facing front-end applications and widgets in TypeScript or REACT Client Advisory & Translation: Sit directly alongside clients, distinguish their ...

ownership of client problems, handling everything from deep data engineering knowing that may require low/no code Palantir Foundry tooling, or Python and PySpark code repos - to building user-facing front-end applications and widgets in TypeScript or REACT Client Advisory & Translation: Sit directly alongside clients, distinguish their ...

processing Handson in Prompt Engineering Azure Open AI Form Recognizer Cognitive Search Vector Databases Develop and deliver upskilling sessions to the customer Python and PySpark Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets … data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable ...

hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets … data programme designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable ...

Azure or AWS Developing modern lakehouse architectures using: Databricks (Spark, SQL, Delta Lake) Azure Data Lake Storage or Amazon S3 Writing high-quality PySpark, Python, and SQL for ingestion, transformation, and modelling Implementing Bronze/Silver/Gold data layers Embedding data quality, validation and monitoring within pipelines Supporting … Data Engineering roles Strong experience working with Azure or AWS cloud platforms Commercial, hands-on experience using Databricks in production Proven capability across: PySpark/Python/SQL Cloud data storage (ADLS or S3) ETL/ELT pipeline development Solid understanding of data architecture, modelling, and governance Experience building ...

governed data solutions using modern cloud technologies. The Role Own the end-to-end design, build, optimisation, and support of scalable Spark/PySpark data pipelines (batch and streaming) Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls Design … solutions Required Skills & Experience Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions Expertise in Databricks, PySpark/Spark, SQL, and Python Proven experience building and optimising large-scale data pipelines in production environments Strong knowledge of cloud data architectures , particularly ...

frameworks Engineering Delivery Design and evolve scalable data pipelines (batch and incremental watermark-based ingestion) using: Microsoft Fabric Pipelines Azure Data Factory PySpark/Python Fabric Notebooks Implement and maintain a medallion lakehouse architecture using OneLake and Fabric Warehouses Ensure Direct Lake-ready semantic models for analytics Lead incident … Hands-on experience with Microsoft Fabric, including: Workspaces, OneLake, Fabric Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models Strong Python and PySpark development capability Solid SQL skills for warehouse development and metadata layers Proven ownership of production data systems end-to-end Wider Azure data platform ...

/PnL/Trade lifecycle/Reconciliation Understanding of financial products such as: Derivatives (swaps, futures, options), bonds Good-to-Have Exposure to PySpark or large-scale data processing Experience working with quants or pricing models Basic scripting (Unix/Bash) Prior experience in global banking environments Experience ...

individual ownership of client problems, handling everything from deep data engineering that may require low/no code Palantir Foundry tooling, or Python and PySpark code repos – to building user‐facing front‐end applications and widgets in TypeScript or React Client Advisory & Translation: Sit directly alongside clients, distinguish their ...

Collaborative office environment with regular social and charity events And Much More!!! DATA ENGINEER – ESSTENTIAL SKILLS Strong experience with Databricks and Apache Spark (PySpark or Scala) Experience building streaming and batch pipelines using Spark Structured Streaming Hands-on experience with Kafka (MSK) and real-time data ingestion Strong understanding … submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data ...

governed data solutions using modern cloud technologies. The Role Own the end-to-end design, build, optimisation, and support of scalable Spark/PySpark data pipelines (batch and streaming) Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls Design … solutions Required Skills & Experience Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions Expertise in Databricks, PySpark/Spark, SQL, and Python Proven experience building and optimising large-scale data pipelines in production environments Strong knowledge of cloud data architectures , particularly ...

data loss. Enable CDC-based replication and minimal downtime migrations across heterogeneous systems. Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR. Architect and implement scalable, secure, and highly available data platforms on AWS. Drive schema conversion and modernization strategies (heterogeneous migrations where applicable). … cloud or cloud to cloud). Experience designing and implementing data validation and reconciliation frameworks. Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent). Deep proficiency in SQL and data modeling concepts. Experience working with S3-based data lakes and Glue Data Catalog. Strong ...

data loss Enable CDC-based replication and minimal downtime migrations across heterogeneous systems Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR Architect and implement scalable, secure, and highly available data platforms on AWS Drive schema conversion and modernization strategies (heterogeneous migrations where applicable) Optimize … data integration), Amazon Redshift (data warehousing) Experience designing and implementing data validation and reconciliation frameworks Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent) Deep proficiency in SQL and data modeling concepts Experience working with S3-based data lakes and Glue Data Catalog Strong understanding ...

with ability to run various data analytics tasks and queries. Exposure to Java script technologies (preferably React) Exposure to Azure Databricks environment is desirable (PySpark, notebooks, integrate repos, job workflows, delta lake, unity catalog etc) Exposure to azure environment and various interconnected azure components (Functions, App Service, Containers etc. … Risk management is highly desirable Qualifications 8+ years of prior experience as a developer in the required technologies CORE TECHNOLOGIES Scripting : Python, SQL, Bash, PySpark Web frameworks: Django, Flask, or FastAPI. Frontend Technologies: ReactJS, Java Script Azure : Azure Databricks, Azure Synapse Analytics, Azure Functions, Azure Data Lake Storage Gen2 ...

ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 50,000 - 65,000 per annum 25 day's holiday Company car/Allowance Variable annual bonus based 5-15% Pension … leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability ...

strategies for performance and scalability Collaborate with data scientists, analysts and DevOps teams to deliver end-to-end solutions Contribute hands-on development using PySpark, SQL and Python Support CI/CD and DevOps practices using Git-based version control Present architectural designs to governance and review forums Essential … governance, metadata and security frameworks Experience working across enterprise-scale cloud data landscapes Strong understanding of performance optimisation and data management strategies Experience with PySpark, SQL and Python Spark Desirable Skills for the Databricks Solution Architect: Strong stakeholder management and communication skills Experience working within Agile delivery environments Experience ...