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Build and scale a cloud-native healthcare data platform that ingests, normalizes, and exchanges clinical and claims data using modern full-stack tools and secure, compliant architectures.
Full-stack developer building Snowflake data warehouse solutions, ETL/ELT pipelines with Azure tools, Java Spring Boot backends, and React/Angular UIs for data visualization.
DevOps Cloud Engineer operating and developing Azure and Databricks platforms for Vattenfall's data, analytics and AI workloads, focusing on IaC, CI/CD, automation and cloud governance.
Senior Python Developer building and optimizing large-scale data pipelines on a bank's core AI & Data platform using Python, PySpark, Airflow, and Kubernetes.
Build and maintain scalable, reliable data pipelines on GCP using Spark, Airflow, Kafka, DBT, and SQL/NoSQL databases, implementing Data Lake and Lakehouse architectures.
Builds and maintains data pipelines and lakes in Azure/Databricks for financial services clients, focusing on ingestion, transformation, and API integration using Python.
Builds and maintains scalable data pipelines using distributed processing tech (GCP, Spark, Airflow) to ingest, transform, and deliver high-quality data. Focuses on database organization, data modeling, API integrations, and migrating to cloud platforms like BigQuery or Microsoft Fabric.
Middle+/Senior Data Analyst builds and maintains Tableau dashboards, cleans and transforms data with SQL/Tableau Prep/dbt, and ensures data quality for ERP/CRM systems in a manufacturing company.
Data Engineer – Azure / Databricks / 3-month contract / Remote Data Engineer / Data Engineering / Azure / Databricks / Ingestion / Pipelines / API / Azure API Management (APIM) / Python / 3-month contract / Outside…
Staff Data Engineer designing and building data pipelines, ETL processes, and data platform infrastructure on AWS using Python to support data-driven decision making across the company.
Salary: £65,000 - 105,000 per year Requirements: We require multiple full-cycle Microsoft Dynamics 365 Business Central implementations delivered end to end, led from the finance side, including at least one greenfield…
Salary: £55,000 - 80,000 per year Requirements: Proven experience delivering data and analytics solutions within an IT environment. Strong Microsoft Azure experience, particularly Azure Data Factory, Databricks, and…
Build and operate an Azure data platform (Databricks, ADF, ADLS) for an energy-sector programme, implementing data governance, IaC, and CI/CD pipelines as a 3-month contractor.
Salary: £30,000 - 60,000 per year Requirements: We are looking for a strong background in data architecture, data engineering, or modern data platform delivery. We require experience designing and implementing…
The Senior Software Engineer, Data Science will design and maintain data pipelines, data lakes, and data products to support Nexthink's cloud intelligence platform. The role involves applying software engineering best practices to data science workflows, mentoring team members, and leveraging AI to enhance data infrastructure.
Senior Data Engineer building scalable Azure/Databricks data solutions, pipelines, and analytics products for Fortune 500 pharma and FMCG clients.
The Data Analyst will design and implement scalable cloud-based data solutions while acting as a bridge between business stakeholders and IT teams. The role focuses on transforming complex data landscapes using Microsoft Azure, SQL, and AI technologies to drive business insights.
A student data analyst builds/maintains dashboards, ensures data quality, and analyzes operational/product metrics (e.g., user behavior) to drive actionable insights. Core tools: Snowflake, AWS, SQL, Python, and visualization platforms.
Обязанности: Разработка и поддержка ETL/ELT-процессов, пайплайнов и витрин данных. Интеграция разнородных источников: ERP, MES, PMIS, Excel, внешние системы. Работа с Apache Airflow, Spark, Kafka; при необходимости —…
Runs the data and automation backbone for ZeKju's growth—managing data lakes, reporting layers, and lead-generation pipelines using AWS QuickSight, Athena, n8n, SQL, and BI tools in a hybrid Munich role.
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