Senior Data Engineer

At Staizen, we live and breathe transformation. We support and guide our clients through the toughest and nitty-gritty parts of building, modernizing, and running digital products and platforms. Transformation is not easy and to be the best partners, we challenge ourselves to constantly practice what we preach in the way we do, build and lead. The name Staizen is short for “State of Kaizen”, inspired by the Kaizen philosophy of continuous improvement. We are all about getting 1% better every day because sustainable transformation is not about the big bang but manifests in the daily choices that we commit to do every single day. What we offer Get the chance to work on transformation at scale missions for complex industries such as banking, e-commerce, insurance. Be part of our internal product development and build the next generation of productivity tools for customers. Be part of exciting communities where you can collaborate, grow and learn across the board. We are remote‑first with global operations across Belgium, Luxembourg, France, the Philippines, and Singapore, with optional co‑working spaces for the team. 1% better yearly budget – your personal growth & learning fund. Co‑working spaces – for the times when you want to spice up and change environments. Remote set‑up budget – to get you up and running wherever you decide to work. Team‑up budget – Monthly lunch/dinner budget for physical or virtual team bonding. Good medical coverage – so you don’t have to worry about your health. Flexitime – We follow the standard business hours, but we trust you to find your most productive time. Role Description The Data Engineer will build and maintain data pipelines, optimize data flow, and support data initiatives. This role involves creating reports and dashboards, ensuring optimal data delivery, and collaborating with various departments to support data‑driven projects. Create and maintain optimal data pipeline architecture. Ensure data adequacy, accuracy, and legitimacy. Monitor, analyze, and evaluate data systems. Troubleshoot data‑related issues and provide relevant support for tech infrastructure needs. Collaborate with stakeholders on data infrastructure and pipeline administration. Assemble large, complex data sets for business requirements. Automate processes, optimize data delivery, and redesign infrastructure for scalability. Build infrastructure for data extraction, transformation, and loading using Snowflake, SQL and AWS technologies. Develop analytics tools for actionable insights and optimization. Build reports and dashboards for business teams using AWS and Snowflake or similar technologies. Major Requirements At least six (6) years of experience in data engineering. Proficiency in modern database and information system technologies. Advanced SQL knowledge and experience with relational databases. Experience with 'big data' pipelines, architectures, and data sets. Strong analytic skills with unstructured datasets. Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred. Proficiency in message queuing, stream processing, and scalable data stores. Experience with relational SQL and NoSQL databases, including Snowflake, Postgres, AWS Redshift, and DynamoDB. Familiarity with data pipeline and workflow management tools like Airflow and Glue. Experience with AWS cloud services and stream‑processing systems. Excellent data administration and project management skills. Proficiency in object‑oriented scripting languages (Python, Java, C++, Scala, PySpark). Experience with reporting tools like PowerBI and Tableau. Experience with full system development life cycle (SDLC) and Lean or Agile development methodologies. Critical thinking, problem‑solving, and strong communication skills. So, what do you think? Are you ready to drive impact and grow with us? We’re looking for forward thinkers who thrive in an international environment. We have openings across our various communities – Frontend, Backend, DevOps, UX/UI, Quality Assurance, Data & Analytics, Delivery (Project Management & Facilitation), and Engineering Management. We can’t wait to meet you, drop us a message, and let’s chat #J-18808-Ljbffr