Oversee daily operations of the team, motivate team members, encourage their personal development, and ensure alignment with organizational goals, while owning the technical architecture of the Data Hub.
Locations (3)
Germering, Bavaria, Germany
New York, United States
Sofia, Sofia-Capital, Bulgaria
Responsibilities
Oversee daily operations of the team
Motivate team members and encourage personal development
Ensure alignment with organizational goals
Address issues and facilitate communication
Report on team performance to upper management
Requirements
University degree in Data Engineering, Business Informatics, or a comparable field of study
The engineer who keeps the platform running well, focusing on maintaining Azure and Databricks infrastructure, building integrations, and ensuring platform reliability and cost control.
Responsibilities
Maintain Azure and Databricks infrastructure in Terraform
Manage Databricks workspaces, compute, Unity Catalog and access
Look after networking, security and identity
Design and support integrations between DataCore and systems like Salesforce, HubSpot and registration providers
Handle authentication, data mapping, API limits and failures
As a Data Platform Digital Solution Engineer (DSE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You will work directly with technical and business stakeholders to design secure, scalable, and resilient database and analytics architectures that support business-critical applications and Frontier AI transformation.
Responsibilities
Lead Databases & Analytics customer engagements
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments
Drive technical workshop using live demos, co-create with customers whiteboarding & architecture, rapid prototyping, hands-on proofs of concept & pilots to resolve technical blockers
Prove technical solutions, co-create or re-use existing architecture to influence solution design and enable customer commitment for deployments
Maintain deep expertise in Analytics Portfolio: Microsoft Fabric including OneLake, Azure Databricks, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL
Requirements
Bachelor's Degree in Computer Science, Information Technology, or related field
Master's Degree in Computer Science, Information Technology, or related field
Nice to have: Cloud and hybrid or on premises infrastructure architecture designs
Design, develop and maintain data solutions for data generation, collection, and processing, creating efficient data pipelines and implementing ETL processes to migrate and deploy data across systems.
Responsibilities
Design and develop data pipelines
Ensure data quality and implement ETL processes
Collaborate with multiple teams to optimize data handling
Lead design and implementation of scalable data architectures
Coordinate with stakeholders to translate data requirements into technical solutions
Design, develop and maintain data solutions for data generation, collection, and processing, including creating data pipelines, ensuring data quality, and implementing ETL processes.
Responsibilities
Design and develop data pipelines
Ensure data quality
Implement ETL processes
Collaborate with multiple teams
Lead design and implementation of scalable data architectures
Requirements
15 years full time education
Nice to have: Databricks Unified Data Analytics Platform
Responsible for ongoing development, support, escalations, and proactive maintenance for client’s Azure Data Platform solution through Managed Services processes, procedures, and tools.
Responsibilities
Support multiple clients’ Azure Data platform, Databricks, and/or Fabric / PowerBI environments, delivering prompt responses to any escalations while analyzing and resolving incidents
Support, implement, and monitor enhancements to clients’ Microsoft Azure and/or Fabric tool stacks for Data & AI (ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric Data Engineering, Microsoft Power BI)
Consult, develop, and advise on Power BI, including report development and modeling
Support comprehensive solutions for customers including importing data from multiple sources, transforming via metadata-driven ETL architectures, storing across the stages of medallion data lake architecture, and serving performant star schema data models for Enterprise Data Warehousing, Business Intelligence and AI/ ML applications
Configure, administer, tune and develop client’s data environment based on governance and security best practices and well-architected frameworks
Requirements
Bachelor’s degree in Computer Science, Mathematics, or related field
Seeking a Senior Azure Databricks Platform Engineer to augment the platform team and accelerate the enablement of new AI capabilities within Azure Databricks.
Responsibilities
Azure Databricks platform administration and operations
Enabling AI features such as Model Serving, Vector Search, Lakebase, and MCP Server
Design and implement product features in collaboration with developers, architects, product owners, and domain experts. Develop production-grade Python code for industrial IoT and timeseries data analytics applications. Build scalable data-processing algorithms using machine-learning-based and deterministic approaches. Develop backend services, web applications, and REST APIs using FastAPI or Flask. Design and maintain efficient data pipelines and ETL processes for large-scale timeseries datasets. Write unit, integration, and component test cases following software engineering best practices. Deploy and operationalize solutions on Microsoft Azure, including Azure Functions and Azure Databricks. Investigate and resolve production issues, incorporate stakeholder feedback, and drive continuous improvements.
Responsibilities
Design and implement product features in collaboration with developers, architects, product owners, and domain experts.
Develop production-grade Python code for industrial IoT and timeseries data analytics applications.
Build scalable data-processing algorithms using machine-learning-based and deterministic approaches.
Develop backend services, web applications, and REST APIs using FastAPI or Flask.
Design and maintain efficient data pipelines and ETL processes for large-scale timeseries datasets.
Requirements
Bachelor’s or master’s degree in Computer Science, Electronics and Communication, Electrical Engineering, Data Engineering, or equivalent.
This role is for one of Weekday’s clients
Salary range: Rs 1000000 - Rs 2000000 (ie INR 10 - 20 LPA)
Min Experience: 7+ years
Location: Bengaluru, Karnataka, India
JobType: full-time
7-8 years of experience in Data Engineering, with strong hands-on expertise in Python, SQL, and ETL/ELT processes.
Experience with Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake Storage (ADLS).
Strong understanding of data warehousing, data modelling, database architecture, and data management concepts.
Experience designing, developing, and optimizing scalable data pipelines for processing large datasets.
Hands-on experience in data ingestion, transformation, integration, and workflow orchestration.
Experience with PySpark and distributed data processing. Knowledge of cloud platforms such as Azure, AWS, or GCP.
Understanding of data quality, validation, monitoring, and performance optimization.
Experience in troubleshooting data pipeline issues and ensuring data reliability.
Knowledge of data security, governance, and best practices.
Strong analytical, problem-solving, and communication skills.
Ability to work with cross-functional teams and translate business requirements into effective data engineering solutions.
Must-have skills
Python, ETL
Good-to-have skills
AWS, GCP
Team Leader Data ManagementNewDocuWare GmbH · Germering, Germany+2 more
Data Platform EngineerNewCloserStill Media · London, United Kingdom
Data Engineer (Managed Services)New3Cloud · Remote, Philippines
Platform Engineer - Azure DatabricksNewXPT Software Australia Pty Ltd · Sydney, Australia
Data Engineer with PythonNewABB · Bangalore, India