18 of 18 Remote Parquet Jobs

for modern data and platform technologies. Nice to Have: Experience implementing data governance and observability stacks (lineage, data contracts, quality monitoring). Knowledge of data lake formats (Delta Lake, Parquet, Iceberg, Hudi). Familiarity with containerisation and streaming technologies (Docker, Kubernetes, Kafka, Flink). Exposure to lakehouse or medallion architectures within Databricks. More ❯

for modern data and platform technologies. Nice to Have: Experience implementing data governance and observability stacks (lineage, data contracts, quality monitoring). Knowledge of data lake formats (Delta Lake, Parquet, Iceberg, Hudi). Familiarity with containerisation and streaming technologies (Docker, Kubernetes, Kafka, Flink). Exposure to lakehouse or medallion architectures within Databricks. More ❯

Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring More ❯

Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring More ❯

Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring More ❯

/Sub) * Observability stacks (OpenTelemetry, Prometheus, Grafana) * IaC (Terraform), security-by-design, OAuth/OIDC, secrets management * Batch & streaming data processing (Spark/Flink/Beam) or columnar analytics (Parquet/Arrow) Career Paths (we're hiring multiple profiles): * Go Backend (API-first): Own product APIs, performance, reliability. * Go Platform (ML-first): Focus on data lake, pipelines, model serving. More ❯

practices such as test automation, IOC, SOLID principles, logging and monitoring Desirable but not essential skills and experience Experience with Clickhouse Experience working with open data formats such as parquet Automated continuous integration pipelines including automated deployment Agile development (Scrum preferred) Azure Dev-Ops (Team Foundation Server) for continuous integration, automated test execution and source code management (GIT) • Authentication More ❯

practices such as test automation, IOC, SOLID principles, logging and monitoring Desirable but not essential skills and experience Experience with Clickhouse Experience working with open data formats such as parquet Automated continuous integration pipelines including automated deployment Agile development (Scrum preferred) Azure Dev-Ops (Team Foundation Server) for continuous integration, automated test execution and source code management (GIT) • Authentication More ❯

practices such as test automation, IOC, SOLID principles, logging and monitoring Desirable but not essential skills and experience Experience with Clickhouse Experience working with open data formats such as parquet Automated continuous integration pipelines including automated deployment Agile development (Scrum preferred) Azure Dev-Ops (Team Foundation Server) for continuous integration, automated test execution and source code management (GIT) • Authentication More ❯

practices such as test automation, IOC, SOLID principles, logging and monitoring Desirable but not essential skills and experience Experience with Clickhouse Experience working with open data formats such as parquet Automated continuous integration pipelines including automated deployment Agile development (Scrum preferred) Azure Dev-Ops (Team Foundation Server) for continuous integration, automated test execution and source code management (GIT) • Authentication More ❯

databases Good development practices such as test automation, IOC, SOLID principles, logging and monitoring. Desirable Skills and Experience • Experience with Clickhouse • Experience working with open data formats such as parquet Automated continuous integration pipelines including automated deployment Agile development (Scrum preferred) Azure Dev-Ops (Team Foundation Server) for continuous integration, automated test execution and source code management (GIT) Authentication More ❯

databases Good development practices such as test automation, IOC, SOLID principles, logging and monitoring. Desirable Skills and Experience • Experience with Clickhouse • Experience working with open data formats such as parquet Automated continuous integration pipelines including automated deployment Agile development (Scrum preferred) Azure Dev-Ops (Team Foundation Server) for continuous integration, automated test execution and source code management (GIT) Authentication More ❯

and analytics teams to ensure data models align with business and technical goals. Leveraging tools such as ERWin, Sparx, RSA, Visio , and handling semi-structured data formats (JSON, XML, Parquet). SKILLS AND EXPERIENCE The successful Data Modeller will have the following skills and experience: Proven experience in data modelling within consulting or financial services environments. Strong expertise in More ❯

and analytics teams to ensure data models align with business and technical goals. Leveraging tools such as ERWin, Sparx, RSA, Visio , and handling semi-structured data formats (JSON, XML, Parquet). SKILLS AND EXPERIENCE The successful Data Modeller will have the following skills and experience: Proven experience in data modelling within consulting or financial services environments. Strong expertise in More ❯

and analytics teams to ensure data models align with business and technical goals. Leveraging tools such as ERWin, Sparx, RSA, Visio , and handling semi-structured data formats (JSON, XML, Parquet). SKILLS AND EXPERIENCE The successful Data Modeller will have the following skills and experience: Proven experience in data modelling within consulting or financial services environments. Strong expertise in More ❯

and analytics teams to ensure data models align with business and technical goals. Leveraging tools such as ERWin, Sparx, RSA, Visio , and handling semi-structured data formats (JSON, XML, Parquet). SKILLS AND EXPERIENCE The successful Data Modeller will have the following skills and experience: Proven experience in data modelling within consulting or financial services environments. Strong expertise in More ❯

and analytics teams to ensure data models align with business and technical goals. Leveraging tools such as ERWin, Sparx, RSA, Visio , and handling semi-structured data formats (JSON, XML, Parquet). SKILLS AND EXPERIENCE The successful Data Modeller will have the following skills and experience: Proven experience in data modelling within consulting or financial services environments. Strong expertise in More ❯

on experience with Azure cloud technologies: Synapse, Fabric, AzureML, ADX, ADF, Azure Data Lake Storage, Event Hubs. Experience with visualisation tools such as Power BI and Streamlit. Familiarity with Parquet and Delta Parquet formats. Strong data modelling and architecture knowledge across SQL and NoSQL databases. Understanding of the software development lifecycle and ML-Ops. Knowledge of advanced statistical More ❯