Senior Data Engineering Consultant

New

Skills

AWS Docker Engineer Java Kubernetes Power Bi Python Snowflake Tableau

Ollion is seeking a Senior Data Engineering Consultant to join our global, cloud-native consulting team. This is a fully remote role, ideal for experienced professionals passionate about designing, building, and optimizing modern data platforms that drive business transformation. You will collaborate with clients worldwide, lead the technical delivery of data solutions, and contribute to building a cutting-edge data and analytics practice while championing a diverse and inclusive culture.

Job Overview

As a Senior Data Engineering Consultant, you will gather requirements, design solutions, and implement robust data architectures to support data-driven decision-making. You will work hands-on with cloud technologies, automate data pipelines, and ensure data quality and scalability. Additionally, you will support pre-sales, contribute to thought leadership, and mentor junior team members, all within a collaborative, innovative environment.

Key Responsibilities
  • Lead discovery sessions with clients and design state-of-the-art data architectures.
  • Develop and implement scalable data pipelines for structured and unstructured data.
  • Implement secure, efficient data storage solutions using modern data warehouses and cloud databases.
  • Automate data collection, processing, and reporting to improve efficiency and minimize manual work.
  • Establish and enforce data validation and testing processes for high data quality.
  • Support pre-sales activities, including solution design and proposal development.
  • Create technical documentation and reusable collateral for the practice.
  • Stay current with technology trends through ongoing training and certifications.
  • Collaborate with marketing to produce thought leadership content.
  • Foster strong, long-term relationships with clients and internal teams.
Required Skills & Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • 5-9 years of data engineering or related experience.
  • Expertise in SQL and relational database concepts.
  • Strong experience with ETL tools or equivalent cloud services (e.g., Azure Data Factory, AWS Glue, dbt).
  • Hands-on with cloud platforms: AWS, Azure, or GCP.
  • Experience integrating multiple data sources (batch and streaming modes).
  • Proficiency with at least one programming language (Python, Java, or Scala).
  • Familiarity with data warehousing solutions (Snowflake, Redshift, BigQuery, Synapse).
  • Experience with visualization tools (Power BI, Tableau, Looker, QuickSight).
  • Strong communication, problem-solving, and organizational skills.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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