Talent Acquisition Specialist – Technical Recruiting
Fluent Trade Technologies51 – 200 Employees
Fintech
Recruit technical talent for Fluent Trade Technologies’ global teams, coordinating hiring across the EU, Ukraine, and the Philippines.
Open
Clarkston Consulting is a strategic business consultancy supporting organizations in life sciences, consumer products, and retail. Its work spans business strategy, operations, implementation, managed services, change management, and data-driven transformation. The firm also provides expertise in business process consulting, clinical research, digital and technology consulting, and supply chain management, helping clients address complex operational and organizational challenges.
Senior Data Engineering Consultant
Lead the design of scalable data pipelines, architectures, and analytics solutions for client teams. Clarkston Consulting serves organizations in life sciences, consumer products, and retail.
Description
- Partner with solution architects, developers, analysts, and data scientists on data and analytics work.
- Lead client projects with stakeholders and technical teams to define and deliver data solutions.
- Build and tune scalable data pipelines and architectures.
- Create and maintain analytics and reporting models, including star and snowflake schemas.
- Turn business needs into technical data solutions.
- Maintain consistent, effective data delivery architecture across projects.
- Address data needs across teams, systems, and products.
- Strengthen data processes, scalability, performance, reliability, and automation.
- Lead, develop, and mentor data engineering teams.
- Help shape client solutions, estimates, proposals, and delivery.
- Contribute to project plans, progress updates, and consulting work.
- Receive mentorship and take part in internal and external professional development.
Requirements
- At least 3 years of experience as a data engineer or in a related data-focused role.
- Advanced SQL skills, including relational databases and query writing.
- Experience building and optimizing big data pipelines, architectures, and datasets.
- Experience with data modeling and schema design, including star and snowflake schemas.
- Experience conducting root cause analysis on internal and external data and processes.
- Strong analytical skills with structured and unstructured datasets.
- Experience building processes for data transformation, structures, metadata, dependencies, and workload management.
- Experience manipulating and processing large, disconnected datasets to extract value.
- Working knowledge of message queues, stream processing, and highly scalable big data stores.
- Experience working with cross-functional teams in a dynamic environment.
- Experience with Databricks, Spark, Snowflake, Airflow, and Kafka.
- Experience with Azure or AWS cloud services.
- Experience with Scala, Python, Java, and/or C++.
- Strong written and verbal communication with technical and business audiences.
- Demonstrated consulting and client-facing experience.
- Experience in life sciences, consumer products, and/or retail is preferred.
- Graduate degree in computer science, statistics, informatics, information systems, or an equivalent field.
- Willingness to travel an estimated 30–50%.
Benefits
- Comprehensive health and wellness coverage, including medical, dental, vision, and more.
- 401(k) with company contributions.
- Paid vacation, personal days, holidays, and sick leave.
- Paid parental leave and family building support, including adoption, surrogacy, and infertility assistance.
- Life and disability insurance.
- Investment in training and professional development.
- Tuition assistance.
- Interview accommodations available upon request.
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