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Azure Data Engineer: Spark & Databricks Pipelines (Lahore)
Builds Azure-based data pipelines with Databricks Spark and Data Factory, then surfaces insights via Power BI dashboards for analytics and reporting.
Data Engineer (Azure Platform)
Builds and maintains Azure-based data pipelines and warehouses, writes PySpark jobs on Databricks, and delivers BI dashboards for analytics and reporting.
Senior Data Engineer
Build and maintain healthcare data pipelines in AWS, create datasets for analytics, and support ML pipelines to improve patient care and streamline operations.
Data Engineer in Test
Design and run PySpark/SQL tests to validate Azure-based data pipelines, ETL jobs, and data quality in a fintech and enterprise-product environment.
Senior Data Engineer
Build and maintain scalable data pipelines using Kafka, Spark, Flink, and cloud orchestration tools, containerized on Kubernetes, to power real-time and batch analytics for a product-focused team.
Data Engineer
Build and migrate data pipelines for a large-scale lakehouse platform, moving legacy Hadoop workloads to Spark 3/Iceberg and optimizing complex SQL queries.
Senior Data Engineer
Designs and maintains data pipelines using Spark, Airflow, Kafka, and Iceberg tables, deploying via GitLab CI/CD on Kubernetes.
Data Engineer — Lakehouse, PySpark & Power BI
Build and optimize data pipelines and transformations on a Microsoft Fabric Lakehouse using PySpark and Power BI to deliver reliable analytics and reporting.
ETL Developer: Python, PySpark & Data Pipelines
Build and maintain ETL pipelines in Python, PySpark, and SQL to transform large datasets and automate data workflows for analytics and reporting.
Senior Data Engineer (AWS) - Manchester
Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data…
Azure Data Engineer
Build and run Azure-based data lakes and Spark pipelines, model data for Power BI, and enforce governance and quality in a large-scale digital transformation.
Data Engineer (Senior) – BI & Data Analytics (Argentina or Uruguay)
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and analytics models for enterprise clients using cloud platforms like Azure, AWS, or GCP.
Cloud Solutions Engineer — Azure & GCP Data Pipelines
Designs and builds Azure and GCP data pipelines for Collections operations, automating workflows with Azure Data Factory, Synapse, and SQL Server.
Nearshore Full-Stack Data Platform Engineer: APIs & Snowflake
Builds and maintains data-driven applications, REST/GraphQL APIs, and cloud pipelines using Python, SQL, Snowflake, Dagster, dbt, and PySpark.
Data Software Engineer: Cloud Big Data & Spark Expert
Builds and maintains cloud-based big-data pipelines using Spark, PySpark, and AWS for global clients.
Data Platform Engineer — AWS, PySpark & SQL
Builds and optimizes AWS-based data pipelines and lake architectures using PySpark, SQL, and Delta Lake to enable reliable, data-driven decisions.
Remote Tech Lead, Data Engineering — Scale Pipelines & Architecture
Lead the design and scaling of data pipelines using Databricks, PySpark, AWS, and SQL while mentoring engineers and aligning with product and engineering stakeholders.
Remote Azure Data Engineer: ETL & Synapse Expert
Designs and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to integrate data for analytics and reporting.
Senior Data Engineer: Databricks, dbt & Airflow (Remote ET)
Design and run data pipelines from CRM sources to a Databricks-based warehouse using dbt and Airflow, with Python/PySpark in an AWS S3 data lake.
Senior Data Engineer (Databricks on AWS) – Remote
Designs scalable data pipelines and migrates analytics workloads from Redshift to a Databricks Lakehouse on AWS using PySpark and Spark.