Parallel Consulting

www.parallelconsulting.com

3 Jobs

46 Employees

About the Company

We are Parallel!

Parallel is an international, award winning trusted staffing partner to clients across the United States, DACH, Benelux and Nordic regions, where we deliver comprehensive Recruitment services across Infrastructure, Analytics, Software engineering and IT Security.

Driven by our mission of bridging technology with the future, we provide global and local solutions for our clients around the world.

We have specialized solely in technology & analytics from the start, focusing on selected markets and building deep understanding of the needs, opportunities, challenges, and cultural gradations/shifts in every area. We bring expertise and experience to guide all our clients and candidates.

We develop a strong understanding of what each of our clients' needs and pair this with a global network of candidates nurtured over nineteen years. This puts us in a unique position to provide unrivalled insights, advice and support to ensure the right technical and cultural alignment, every time.

Passionate on behalf of our clients, professionals, and each other, our consultants communicate both openly and honestly to provide a seamless and reliable level of service, within and beyond our office borders.

We are united and supported by our core values, our "Parallel Pillars" (imaginative, authentic, collaborative and mastery), which our people helped us to shape. Our people support each other to deliver the highest standard of service whilst embracing the ethos that underpins the work that we do at Parallel.

Listed Jobs

Company Name: Parallel Consulting
Job Title: Full Stack Engineer
Job Description: **Job Title** Full Stack Engineer **Role Summary** Senior Full Stack Engineer responsible for designing, building, and maintaining scalable enterprise solutions with a strong focus on integration, backend development, and event‑driven architectures. Works cross‑functionally to deliver APIs, event streams, and automation enhancements, while mentoring junior staff and adopting emerging tech such as AI/ML. **Expections** - Minimum 6 years professional development experience - Proven expertise in MuleSoft, Java, SQL/NoSQL, and Kafka - Strong problem‑solving and ownership of end‑to‑end solutions - Excellent communication, teamwork, and agility in fast‑paced environments **Key Responsibilities** - Lead design and implementation of MuleSoft integrations and Java back‑ends - Build and maintain scalable REST/GraphQL APIs and Kafka‑based event‑driven systems - Optimize database schemas and queries across SQL/NoSQL stores - Collaborate with product, QA, and DevOps teams to ensure quality delivery - Mentor junior developers and promote coding best practices - Evaluate and incorporate AI/ML or automation opportunities into existing workflows **Required Skills** - MuleSoft (Mule ESB / Anypoint Platform) – core integrations - Java – expert‑level backend development - Databases – SQL and NoSQL (schema design, query performance) - Kafka – pub/sub and event streaming - Strong communication, teamwork, and problem‑solving - Exposure to Python, React, AI/ML frameworks, and cloud platforms (AWS, Azure, GCP) is a plus **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field *or* equivalent professional experience. - Relevant certifications (e.g., MuleSoft Certified Developer, Java SE Developer) preferred but not mandatory.

New york, United states

Hybrid

Mid level

18-09-2025

Company Name: Parallel Consulting
Job Title: Data Engineer
Job Description: Job title: Data Engineer Role Summary: Design, build, and maintain real‑time data pipelines and supporting infrastructure on Azure. Develop scalable event‑driven data solutions, create CI/CD workflows, and ensure observability and performance across a distributed European engineering environment. Expectations: - Deliver production‑grade real‑time data services that meet low‑latency and high‑availability requirements. - Collaborate cross‑functionally with architects, developers, and operations teams. - Maintain clear technical documentation and share knowledge across teams. Key Responsibilities: - Architect and implement Azure‑based streaming pipelines using Azure Data Factory, Azure Synapse, Azure Event Hubs, Azure Stream Analytics, and Cosmos DB. - Design and optimize caching, integration, and API‑driven workloads for scalability and cost efficiency. - Build and maintain CI/CD pipelines in Azure DevOps; provision resources with Terraform or Bicep. - Develop Python (FastAPI) services for APIs and microservice integration. - Implement monitoring with Azure Monitor, Application Insights, and Log Analytics; conduct performance testing and provide findings. - Document system architecture, data flows, and operational procedures. - Support incident response and troubleshooting in a multi‑team, multi‑region environment. Required Skills: - Azure Cloud expertise (Data Factory, Synapse, Event Hubs, Stream Analytics, Cosmos DB). - Event‑driven architecture and low‑latency data processing fundamentals. - Python programming with FastAPI for building APIs. - Azure DevOps CI/CD pipeline configuration and automation. - Infrastructure‑as‑Code using Terraform or Bicep. - Observability and monitoring within Azure (Monitor, Application Insights, Log Analytics). - Strong analytical, problem‑solving, and communication abilities. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Systems, or related technical field (or equivalent practical experience). - Optional certifications: Microsoft Certified: Azure Data Engineer Associate, or Microsoft Certified: Azure DevOps Engineer Expert.

Brussels, Belgium

Hybrid

03-11-2025

Company Name: Parallel Consulting
Job Title: Senior Data Engineer
Job Description: **Job title:** Senior Data Engineer **Role Summary:** Architect, build, and maintain a scalable enterprise data warehouse using Data Vault 2.0 principles, ensuring alignment with reference architecture, governance, and security standards. **Expectations:** - Deliver high‑quality data models and pipelines on schedule within Agile/Scrum teams. - Validate data quality, consistency, and performance across ingestion, transformation, and reporting layers. - Drive automation and best practices in data engineering to accelerate delivery and reduce manual effort. **Key Responsibilities:** - Collaborate with Data Engineers, Architects, and stakeholders to translate blueprint use‑cases into operational models. - Design, develop, and optimize Data Vault 2.0 models and ELT pipelines. - Use VaultSpeed or equivalent tools to automate model creation and deployment. - Write and tune complex SQL for data integration, reporting, and analytics. - Ensure data warehouse compliance with governance, security, and quality frameworks. - Troubleshoot ingestion, transformation, and availability issues. - Coordinate with Data Architects to maintain reference architecture fidelity. **Required Skills:** - Proven experience as a Data Warehouse Engineer or similar role. - Deep expertise in Data Vault modeling and implementation. - Advanced SQL proficiency (performance tuning, complex joins, window functions). - Strong understanding of ETL/ELT processes and data integration patterns. - Experience with modern cloud data warehouses (Snowflake, Azure Synapse, BigQuery, Redshift). - Familiarity with enterprise data architecture blueprints and reference models. - Analytical and problem‑solving abilities. - Comfortable in Agile/Scrum environments. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience. - Relevant certifications (e.g., Snowflake Certified, Microsoft Azure Data Engineer Associate, Google Professional Data Engineer, or Data Vault certification) are a plus.