Senior Data Engineer (Contract)

Who We Are  

At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Gold Partner and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst.  

Who We’re Looking For

We’re excited to add a Data Engineer to our Cloud, Data & AI Solutions Team. In this role, you’ll work with a team of customer-focused professionals who are committed to defining technical strategy, architecting, designing, and delivering end-to-end digital transformation. You'll demonstrate strong technical competence and business acumen through engaging in senior-level technology decision-making discussions related to agility, business value, data warehousing, and cloud-oriented data solutions.  

At Concurrency, we believe in living out our core values every day. These principles guide our actions, decisions, and interactions:  

Be Yourself: Be the best version of your whole self. Your authenticity matters.   

Be Bold:Bravely and respectfully take risks and challenge the norm.  

Have a Growth Mindset:Be open to learning and apply your expertise.  

Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward.  

Assume Positive Intent:Lead with giving the benefit of the doubt.  

• Design, build, and optimize scalable data solutions using Microsoft Fabric, Azure, and modern cloud data platform technologies. 

• Partner with business and technical stakeholders to gather requirements and translate them into technical designs, data models, and implementation plans. 

• Develop and maintain Fabric Data Factory pipelines, dataflows, notebooks, and orchestration processes for reliable data ingestion and transformation. 

• Build and support Lakehouse architectures leveraging Bronze, Silver, and Gold (Medallion) layers to improve data quality, governance, and analytics readiness. 

• Develop ELT/ETL solutions using SQL, PySpark, Python, and Fabric notebooks to transform and enrich enterprise data. 

• Create and optimize data models that support reporting, self-service analytics, AI, and machine learning initiatives. 

• Support migrations from legacy data platforms, on-premises databases, and third-party systems into Microsoft Fabric and Azure data services. 

• Implement data quality, monitoring, security, and governance practices that align with enterprise standards. 

• Over 2 years of experience designing and delivering modern data solutions on Microsoft Azure and/or Microsoft Fabric. 

• Experience developing and supporting Microsoft Fabric workloads including Data Factory, Lakehouse, Warehouse, Notebooks, or Real-Time Analytics. 

• Understanding of Medallion Architecture (Bronze, Silver, Gold) and modern data engineering best practices. 

• Experience building ELT/ETL pipelines using SQL, Python, PySpark, Data Factory, or similar cloud-native technologies. 

• Strong SQL development skills, including stored procedures, data transformation logic, and performance optimization. 

• Knowledge of dimensional modeling, star schemas, Data Vault, and other analytical data modeling techniques. 

• Ability to gather business requirements and translate them into source-to-target mappings, data models, and technical solutions. 

• Experience developing semantic models, reports, and dashboards using Power BI. 

• Understanding of data governance, data quality, security, and performance considerations within cloud data platforms. 

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience. 

• Knowledge of OneLake, shortcuts, semantic models, and Fabric-native architecture patterns. 

• Experience supporting AI, machine learning, or advanced analytics workloads. 

• Familiarity with Azure Synapse Analytics, Azure Data Lake Storage, and related Azure data services. 

• Experience with DevOps practices including Git, CI/CD pipelines, and infrastructure automation. 

• Consulting or professional services experience with direct client engagement and solution delivery.