Data Solutions Architect leading business intelligence solutions and analytics at Crowe. Overseeing data pipelines and analytics frameworks to drive decision - making and compliance.
About the role
- Senior Data Engineer at Emergn solving real problems with cutting-edge technologies and growing alongside a collaborative global team.
Responsibilities
- Full proficiency in Microsoft SQL Server and T-SQL: stored procedures, views, and user-defined functions (mandatory).
- Full proficiency in Power BI (mandatory).
- Experience in creating reports using SQL Server Reporting Services (SSRS). If the candidate lacks this skill but excels in the previous two, we can provide training on SSRS.
- Design, build, and maintain scalable data pipelines and workflows using Microsoft Fabric, including Data Factory, Lakehouse, and Synapse Pipelines.
- Use Apache Spark in Microsoft Fabric Notebooks for large-scale data processing, cleansing, and transformation tasks.
- Develop efficient SQL-based solutions for data modeling, data warehousing, and analytics layers.
- Leverage Python and PySpark to automate data flows, integrate sources, and apply advanced data logic.
- Collaborate with analysts, engineers, and stakeholders to deliver clean, trustworthy datasets to reporting and ML pipelines.
- Assist in establishing data quality, data lineage, and governance processes across the data stack.
- Act as a subject matter expert on data workflows within the Microsoft ecosystem, helping to guide best practices across teams.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- Hands-on experience with Microsoft Fabric components including Spark Notebooks, Data Factory, and Synapse.
- Strong understanding of Apache Spark (especially via PySpark) for distributed data processing.
- Proficiency in SQL for data manipulation and optimization.
- Solid Python skills for scripting, automation, and transformation logic.
- Experience with cloud-native data solutions—preferably on Microsoft Azure.
- Understanding of data warehouse design, dimensional modeling, and Lakehouse patterns.
- Familiarity with CI/CD and version control tools (e.g., Git, Azure DevOps).
- Comfortable working in agile, iterative data development cycles.
- Excellent communication and stakeholder collaboration skills.
- Nice to Have:
- Familiarity with OneLake architecture and Delta Lake implementation in Fabric.
- Knowledge of Power BI data modeling and how backend data impacts reports.
- Experience with streaming data ingestion (e.g., Azure Event Hubs, Kafka, Fabric Real-Time Analytics).
- Exposure to notebook-based development workflows in Jupyter or Databricks.
- Awareness of data privacy, security best practices, and compliance (e.g., GDPR, DLP tools).
- Previous experience with other Spark platforms like Databricks or HDInsight is a plus.
Benefits
- Salary 4750 - 5000 EUR gross/month.
- Work within a dynamic international team of experts Excellent opportunity for personal and professional development .
- Flexible work model and the freedom to choose the tools that suit you best – Mac or Window.
- Ability to work with modern technologies.
- Extensive catalogue of educational programs, the possibility of training and certification at the expense of the company.
- 20 working days of vacation per year.
- Life and disability insurance.
- Health insurance.
- Big free parking.
- Birthday gift.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Lead Data Engineer designing and building scalable data solutions utilizing AI technology for a globally recognized financial institution. Serving sophisticated clients across the globe.
Data Engineer Consultant building and maintaining enriched data infrastructure for analytical thinking at Northwest Permanente. Involves data collection, cleansing, and transformation for business intelligence.
Vice President - Business, Data Architect role at TD Securities focusing on business data architecture and analytics capabilities. Collaborate with stakeholders to define and govern data models and ensure alignment with strategy.
Staff Data Engineer at Headspace building privacy - first data platforms for mental health support. Leading data engineering strategies and mentoring team members to enhance data - driven decision making.
Senior Data Engineer building and implementing data pipelines at Headspace. Collaborating with analytics and data science teams to enhance personalized mental health support.
Data Engineering Intern working on data pipelines and infrastructure in fast - growing fintech. Collaborating with data engineers, learning best practices and developing data solutions.
Senior Software Engineer building and maintaining data infrastructure for Gusto. Collaborating with Data Science and Business Intelligence teams to achieve their goals.
Data Engineer building and maintaining scalable data pipelines for AI Search Infrastructure at You.com. Collaborating across teams to ensure data quality and enable AI capabilities.
Data Engineer developing and managing technology - based data solutions for clients in different industries in Greece. Participating in software development lifecycle within Agile team setting.