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Data Science Professional
The Data Science Professional will analyze digital and offline data to provide actionable insights and support business decision-making. The role involves building and maintaining Qlik dashboards, managing data governance, and coaching teams on data literacy.
Platform Engineer: Analytics, Data & AI on Azure
Designs and secures Azure-based cloud platforms, automates infrastructure with Terraform, and supports AI services while collaborating with cross-functional teams to build scalable data and analytics pipelines.
AVP, Senior Engineer - AI & Data Science
Develops Python-based AI/data science solutions for HSBC’s global finance operations, focusing on Generative AI, data pipelines, and production-grade systems with governance controls.
Analytics Engineer 5 - Enterprise Data
Lead the analytics strategy for data health at Netflix, defining metrics for trust, availability, and compliance while partnering with engineering and product teams to build scalable data foundations.
Senior AI & Data Science Engineer: Generative AI
The Senior AI & Data Science Engineer will develop Python-based solutions for Global Finance, focusing on Generative AI and LLM implementation. The role involves researching AI techniques, managing multi-tier software stacks, and ensuring compliance with regulatory standards within a global team.
AI & Analytics Engineer — Data-Driven Solutions (Hybrid)
Build AI-driven analytics solutions, dashboards, and decision-support tools using Microsoft Fabric, Snowflake, and Power Platform in an Agile SAFe environment at a bank.
Senior Big Data Software Engineer (GCP)
The Senior Big Data Engineer will design and maintain scalable data pipelines and integration solutions on Google Cloud Platform for a healthcare client. The role involves working with technologies like BigQuery, Dataflow, and Terraform to support enterprise data platforms and modern data architectures.
Data Engineer - Kraków (Małopolskie), Polska K/M
The Data Engineer will build and maintain data pipelines within the Azure ecosystem using PySpark and Azure Databricks to support payroll operations. This role involves integrating data from various sources and collaborating with business stakeholders in an Agile environment.
Data Engineer (BigQuery / GCP) (m/f/d)
The Data Engineer will develop and maintain ELT/ETL pipelines and BigQuery datasets to support financial reporting and controlling processes. The role involves collaborating with stakeholders to model data and ensure operational stability within a GCP environment.
Cloud Data Engineer: Azure, Spark & Data Lake
Build and optimize Azure Databricks-based data pipelines and Data Lake architectures to process and integrate data from multiple sources for analytics and BI teams.
Senior Big Data Engineer — Cloud Data Platform Architect
SoftServe is hiring a Senior Big Data Engineer to design and build scalable data pipelines and architectures on GCP for a US healthcare client. The role involves working within a Big Data & Analytics Center of Excellence to deliver enterprise-scale data solutions.
Cloud Data Engineer: Azure Databricks & Data Lake Architect
Designs scalable data platforms and builds ETL/ELT pipelines in Azure Databricks while modeling data for analytics and collaborating with BI and Data Science teams.
Senior Snowflake Data Engineer for Financial Analytics
The Senior Data Engineer will architect and maintain a Snowflake-based data lakehouse to support trading, operational, and marketing analytics. The role involves building scalable data pipelines from ingestion through to management information dashboards.
Cloud Data Engineer — Data Platform & Analytics (Hybrid)
The Cloud Data Engineer will design, develop, and operate cloud-based data frameworks and analytics platforms. The role focuses on enabling data product teams through DataOps practices, governance, and monitoring.
Cloud Data Engineer — Azure Data Lake & Spark
The Cloud Data Engineer will design and build scalable data platforms and develop ETL/ELT pipelines using Azure Databricks. The role involves data modeling, pipeline optimization, and collaboration with data science teams.
Cloud Data Engineer
The Cloud Data Engineer designs, develops, and operates cloud frameworks for an international data and analytics platform using Microsoft Azure and Big Data technologies. The role involves building ETL pipelines, supporting data product teams, and implementing DataOps and DevOps methodologies.
Azure Cloud Data Engineer: Data Lake & Pipelines
Data Engineer designing and building scalable Azure data platforms and ETL/ELT pipelines, collaborating with analytics, BI, and Data Science teams.