23 of 23 Remote Parquet Jobs in the UK

tools (QuickSight, Power BI, Tableau, Looker, etc.) Interest or experience in building internal data communities or enablement programs Working with diverse data sources (APIs, CRMs, SFTP, databases) and formats (Parquet, JSON, XML, CSV) Exposure to machine learning models or AI agents Why Join Us Help shape the future of data in an organization that treats data as a product More ❯

tools (QuickSight, Power BI, Tableau, Looker, etc.) Interest or experience in building internal data communities or enablement programs Working with diverse data sources (APIs, CRMs, SFTP, databases) and formats (Parquet, JSON, XML, CSV) Exposure to machine learning models or AI agents Why Join Us Help shape the future of data in an organization that treats data as a product More ❯

All our office locations considered: Newbury & Liverpool (UK); Šibenik, Croatia (considered) We're on the hunt for builders . No, we've not ventured into construction in our quest to conquer the world, rather a designer and builder of systems More ❯

All our office locations considered: Newbury & Liverpool (UK); Šibenik, Croatia (considered) We're on the hunt for builders . No, we've not ventured into construction in our quest to conquer the world, rather a designer and builder of systems More ❯

All our office locations considered: Newbury & Liverpool (UK); Šibenik, Croatia (considered) We're on the hunt for builders . No, we've not ventured into construction in our quest to conquer the world, rather a designer and builder of systems More ❯

Expert knowledge of the Microsoft Fabric Analytics Platform (Azure SQL, Synapse, PowerBI). • Proficient in Python for data engineering tasks, including data ingestion from APIs, creation and management of Parquet files, and execution of ML models. • Strong SQL skills, enabling support for Data Analysts with efficient and performant queries. • Skilled in optimizing data ingestion and query performance for MSSQL More ❯

processing and automation Solid understanding of ETL/ELT workflows, data modelling, and structuring datasets for analytics Experience working with large, complex datasets and APIs across formats (CSV, JSON, Parquet, etc) Familiarity with workflow automation tools (eg, Power Automate) and/or Power Apps is desirable Excellent interpersonal and communication skills with the ability to work cross-functionally and More ❯

hands-on AWS experience – S3, Redshift, Glue essential. Proven experience building ETL/ELT pipelines in cloud environments. Proficient in working with structured/unstructured data (JSON, XML, CSV, Parquet). Skilled in working with relational databases and data lake architectures. Experienced with Matillion and modern data visualisation tools (QuickSight, Tableau, Looker, etc.). Strong scripting and Linux/ More ❯

hands-on AWS experience – S3, Redshift, Glue essential. Proven experience building ETL/ELT pipelines in cloud environments. Proficient in working with structured/unstructured data (JSON, XML, CSV, Parquet). Skilled in working with relational databases and data lake architectures. Experienced with Matillion and modern data visualisation tools (QuickSight, Tableau, Looker, etc.). Strong scripting and Linux/ More ❯

Next loves: Languages: Python, SQL & Spark (PySpark, SparkSQL) Tools: Git (GitHub/GitLab) DataBricks, AWS services (inc. Athena/Glue, S3, SageMaker, Lambda, Transcribe, EC2) & Tableau Datastores: Postgres, DataBricks, Parquet/Delta Here's what else you need to know: Role may close earlier due to high applications. Competitive salary Location - London - E.ON Next, 47-53 Charterhouse Street, Farringdon More ❯

Next loves: Languages: Python, SQL & Spark (PySpark, SparkSQL) Tools: Git (GitHub/GitLab) DataBricks, AWS services (inc. Athena/Glue, S3, SageMaker, Lambda, Transcribe, EC2) & Tableau Datastores: Postgres, DataBricks, Parquet/Delta Here's what else you need to know: Role may close earlier due to high applications. Competitive salary Location - London - E.ON Next, 47-53 Charterhouse Street, Farringdon More ❯

Next loves: Languages: Python, SQL & Spark (PySpark, SparkSQL) Tools: Git (GitHub/GitLab) DataBricks, AWS services (inc. Athena/Glue, S3, SageMaker, Lambda, Transcribe, EC2) & Tableau Datastores: Postgres, DataBricks, Parquet/Delta Here's what else you need to know: Role may close earlier due to high applications. Competitive salary Location - London - E.ON Next, 47-53 Charterhouse Street, Farringdon More ❯

equivalent) Python for scripting, data manipulation or automation tasks Experience with data comparison and synchronisation tools e.g.Redgate Structured and semi-structured data formats, including JSON, XML, Hive tables, and Parquet files Cloud platforms (e.g., Azure, AWS, GCP), including deployment, configuration, and integration of database services Data warehousing, including dimensional modelling and ETL processes Machine learning pipeline awareness Experience with More ❯

Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an informal chat. More ❯

various exchange and processing techniques (ETL, ESB, API). Lead the way in delivering Agile methodologies for successful and timely project delivery. Leverage strong database skills (SQL, NoSQL, and Parquet) for efficient data storage and management. What we're looking for from you: Proficiency in Data Science techniques, including statistical models and ML algorithms. Expertise in NLP, with a … keen understanding of LLM and RAG technologies. Strong development capabilities, particularly in Python. Experience with data exchange, processing, and storage frameworks (ETL, ESB, API, SQL, NoSQL, and Parquet). Comfort with Agile development methodologies. Excellent teamwork and communication skills, with a talent for translating technical concepts into actionable insights for non-specialists. Ability to influence company decision-makers and More ❯

with Azure Integration Services (e.g., Logic Apps, ADF, Service Bus, Functions) Comfortable working with Git , Azure DevOps , and unit testing practices Knowledge of common data formats: CSV, JSON, XML, Parquet Ability to lead integration designs with minimal rework required 🧾 Preferred Qualifications 🎓 Certification in SSIS or relevant Microsoft technologies 💡 Proven track record of delivering robust integration solutions 🧠 Key Skills & Traits More ❯

data Proficiency with Linux development, Git, containers, and CI/CD workflows Familiarity with SQL and at least one columnar or time-series data store (e.g., kdb+, ClickHouse, InfluxDB, Parquet/Arrow) Excellent problem-solving abilities, attention to detail, and clear communication skills Nice To Have: Prior exposure with execution algos, TCA, order-routing, or market-impact modelling Knowledge More ❯

data Proficiency with Linux development, Git, containers, and CI/CD workflows Familiarity with SQL and at least one columnar or time-series data store (e.g., kdb+, ClickHouse, InfluxDB, Parquet/Arrow) Excellent problem-solving abilities, attention to detail, and clear communication skills Nice To Have: Prior exposure with execution algos, TCA, order-routing, or market-impact modelling Knowledge More ❯

Key Skills and Experience required Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics, with demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes More ❯

Key Skills and Experience required Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics, with demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes More ❯

understanding and designing systems as it is about coding in a particular language. Have an understanding of blockchain technology and RPC interactions Have experience with datalakes and formats like parquet, delta, iceberg You have great collaboration and communication skills. We work on the principle that the best output emerges from effective team work and respectful/constructive discussions. Coding More ❯

Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an informal chat. #J-18808-Ljbffr More ❯

Modeler/Architect London Market Insurance industry experience Proficiency with Data Modelling tools such as Erwin Knowledge of modelling methodologies including Kimball Experience with Data Lake formats such as Parquet and Delta Lake Contract Duration: 6 months Location: London/WFH hybrid If this position interests you, please don’t hesitate to apply. William will contact you in due More ❯