Data Engineering Medior Consultant

Join us and lead data innovation at Riverflex

Are you looking to elevate your career in data engineering? Join Riverflex’s Data & Analytics (D&A) team as a Medior Consultant Data Engineering. In this role, you will be hands-on in developing end-to-end data workflows and solutions, leveraging your expertise to support client transformations and contribute to the development of our data engineering capabilities.

Why choose Riverflex?

• Collaborative Community: Immerse yourself in a vibrant and dynamic team that values social connections and teamwork, fostering a strong sense of belonging.

• Global Diversity: Thrive in an international and diverse work environment where team members bring various backgrounds and perspectives, creating a rich tapestry of experiences.

• Ownership and Impact: At Riverflex, we provide you with the autonomy and the space to take ownership, drive tangible results, and make a lasting impact in the dynamic realm of data engineering.

• Professional Development: We prioritize your growth with tailored opportunities to propel your career to new heights, ensuring you stay at the forefront of data engineering innovation through continuous learning.

• Client Impact: Collaborate with a diverse clientele, contributing to meaningful outcomes for our clients and shaping the ever-evolving digital landscape.

• Cutting-Edge Environment: Riverflex is dedicated to pushing the boundaries of what’s possible in the data engineering field. Join us in fostering a dynamic, creative space where your innovative ideas flourish.

• Career Growth: Experience dynamic career growth with opportunities to lead, mentor, and collaborate with a community of industry experts, shaping your own path while inspiring others in the journey of data excellence.

• Global Reach: Engage with a wide array of clients and industries, transcending borders to contribute to our global technology initiatives.

Your key responsibilities

• Architect, develop, and maintain robust data solutions (from end-to-end workflows to entire data platforms) that support complex client needs.

• Apply programming skills in SQL, Python and the Spark framework for data processing and real-time data ingestion.

• Lead the development of data workflows utilizing cloud-based technologies, particularly Azure and Databricks.

• Ensure data quality and implement robust testing in varied data environments (leveraging frameworks such as Great Expectations)

• Maintain version control and thorough documentation (e.g., GIT, WIKI) to support development processes.

• In-depth understanding of storage formats such as Parquet and Avro, with practical knowledge of their use cases.

• Actively contribute to Agile/Scrum/Kanban for effective project delivery.

• Use DevOps, CI/CD and infrastructure as code (IaC) tools/principles for efficient deployment and maintenance (using e.g. Airflow/Terraform)

• Collaborate closely with client teams and stakeholders, showcasing effective communication skills and a proactive approach.

• Work both on-site in Amsterdam and remotely, balancing flexibility and in-person collaboration.

Requirements

Skills and attributes for success

• Strong grasp of data architecture concepts including distributed systems, and data contracts.

• Ability to apply software engineering principles to data engineering, ensuring code maintainability, scalability, and reusability.

• Experience working with DevOps practices and CI/CD pipelines for automated, reliable deployment and integration.

To qualify for the role, you must have

• A Master’s Degree in Computer Science, Data Science, or a related field.

• Around 3 years of hands-on experience in data engineering, with demonstrated proficiency in developing and maintaining data solutions.

• Strong programming skills in Python and SQL, and expertise in Spark.

• Experience in Azure and Databricks cloud platforms

• Experience with source control tools such as GitHub and related development processes.

• Experience with workflow scheduling/orchestration tools like Airflow.

• Experience in building cloud-scalable, real-time, and high-performance data solutions.

• Understanding of key data quality concepts and testing in various types of data environments.

• Prior experience with a consulting firm is desirable.

• Fluency in English; Dutch language proficiency is a plus.

• Availability to start by January 2025.

What we offer

• An exceptional experience of working for a fast-growing start-up, with a fun, dynamic, and stable international environment.

• A unique opportunity to work in an open-talent network ecosystem with top