Data Engineering Medior Consultant
Amsterdam, Noord-Holland, Netherlands
Riverflex
We help courageous leaders create teams, augment intelligence and drive transformative change.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 industry specialists and consultants.
• Opportunities to work on projects for clients across all our international markets.
• A growth culture that values autonomy, initiative, and creativity, with fast growth opportunities.
• An experienced, ambitious, and innovative management team with a professional approach from previous Big 4 firms.
• Competitive salary and practical benefits such as flexible working arrangements, with the option to work from home or our office space in a start-up hub in the heart of Amsterdam.
Interested?
If you’re excited about crafting the future of tech consulting, contributing to a collaborative team, and taking on new challenges, we’d love to hear from you. Join us in pushing boundaries and making an impact at Riverflex.
We are an Equal Opportunity Employer and take pride in a diverse environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital status, medical condition, or disability. Even if you believe you do not tick all the aforementioned requirements for the role, we still encourage you to take the time to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture Avro Azure CI/CD Computer Science Consulting Consulting firm Databricks Data quality DevOps Distributed Systems Engineering Git GitHub Kanban Parquet Pipelines Python Scrum Spark SQL Terraform Testing
Perks/benefits: Career development Competitive pay Flex hours Startup environment
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