26 to 50 of 109 PySpark Jobs

Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use ·Writing clear, well-structured Python, PySpark, and SQL to transform and validate data from multiple upstream sources ·Taking ownership of data quality, consistency, and reliability across the pipeline lifecycle ·Shaping ...

with various databases e.g. MS SQL, Azure Cosmos DB. Skilled at optimizing large and more complicated SQL statements. Proficiency in Python and experience with PySpark Experience of REST API standards. Proficiency in writing clean, readable, and secure code for Azure backend services, i.e. functions, utility functions etc. Experience ...

reviews via Tabular Editor. Excellent design intuition-clean layouts, drill paths, and KPI logic. Nice to Have Python for automation or ad-hoc prep; PySpark familiarity. Understanding of Lakehouse patterns, Delta Lake, metadata-driven pipelines. Unity Catalog/Purview experience for lineage and governance. RLS/OLS implementation experience. ...

reviews via Tabular Editor. Excellent design intuition-clean layouts, drill paths, and KPI logic. Nice to Have Python for automation or ad-hoc prep; PySpark familiarity. Understanding of Lakehouse patterns, Delta Lake, metadata-driven pipelines. Unity Catalog/Purview experience for lineage and governance. RLS/OLS implementation experience. ...

enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. ...

DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call - high-level overview ...

DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call - high-level overview ...

Essential Strong experience with Azure Databricks Infrastructure as Code using Terraform DevOps practices and CI/CD pipelines Git and peer review workflows Python, PySpark, and SQL Cloud operations within Azure To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth ...

optimize Lakehouse architectures using Delta Lake principles Ingest, transform, and curate data from multiple sources (APIs, databases, files, streaming) Develop scalable data transformations using PySpark and Spark SQL Implement data models optimized for analytics and reporting (e.g. star schemas) Monitor, troubleshoot, and optimize performance and cost of data workloads … practices Required Skills & Experience Strong experience with Microsoft Fabric (Lakehouse, Pipelines, Notebooks, Dataflows, OneLake) Hands-on experience with Databricks in production environments Proficiency in PySpark and SQL Solid understanding of data engineering concepts (ETL/ELT, orchestration, partitioning) Experience working with Delta Lake Familiarity with cloud platforms (Azure preferred ...

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/AI/Artificial Intelligence ...

5+ years of data engineering experience Strong Python and SQL skills —essential for pipeline development and data transformation. Experience with Databricks/Snowflake, and PySpark ideally A track record of taking ownership —whether it’s revamping a data warehouse, improving a data lake, or delivering visible business impact. ...

fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest in B2B SaaS, data platforms, or AI-enabled products What ...

organisation ahead of the curve. Skills and Experience Proven experience as a Senior or Lead Data Engineer. Hands-on experience with Databricks and PySpark/Spark SQL. Strong expertise with the Azure data platform (Data Factory, Synapse, etc.). Solid understanding of data architecture and performance optimisation. What ...

data pipelines and ETL processes. Skills and Experience Proven experience as a Senior or Lead Data Engineer. Strong hands-on expertise with Databricks and PySpark/Spark SQL. Deep knowledge of the Azure data platform (Data Factory, Synapse, etc.). Solid understanding of data architecture principles and performance optimisation. ...

understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...

understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...

understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...

tools such as JUnit, Spock or Clojure.test. Scripting skills in Bash, Ruby, or Python. Some technologies and processes we use: Clojure, Go, Python Databricks, PySPark Kafka, Kafka Streams Relational DB, Document Stores (e.g. ElasticSearch) GCP, AWS Kubernetes, Cloud Native CI/CD, CircleCI, GitOps, FluxCD ...

Elevate team capabilities by setting best practices in analytics, code quality, and data storytelling. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify ...

Elevate team capabilities by setting best practices in analytics, code quality, and data storytelling. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify ...

experience 2+ years hands-on Microsoft Fabric (Data Factory pipelines, Lakehouse) or Azure Synapse Proven experience extracting and consolidating master data from multiple ERPs PySpark and/or T-SQL Understanding of Delta Lake, medallion architecture and lakehouse patterns Understanding of data quality, data governance, and best practices Ability ...

Build and operate scalable data pipelines using Microsoft Fabric (OneLake/Delta Lake, Data Factory, Synapse Data Engineering). Develop batch processing solutions using PySpark, Spark SQL, Python, and SQL , with a focus on performance, resilience, and data quality. Support reporting and MI use cases, including transformations and data … Data Engineer or equivalent. Active SC clearance (BPSS minimum). Strong hands-on experience with Microsoft Fabric and Azure data services. Advanced skills in PySpark, Spark SQL, Python, and SQL . Experience delivering data engineering solutions in government or similarly regulated environments. CI/CD, DevOps, and IaC experience ...

Salary range: £75,000-£85,000 + 10% bonus + benefits Purpose: Build and maintain large, scalable Data Lakes, processes and pipelines Tech: Python, PySpark, AWS, Iceberg/Kafka, Spark/Glue, CI/CD Industry: Financial services/securities trading Immersum continue to support a leading SaaS securities ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...