🛠 Tech Stack

💼 About This Role

You'll design scalable data solutions for a leading financial institution, ensuring data reliability and compliance. You'll drive the long-term data architecture vision aligned with business goals, enabling data-driven decisions. This role offers the chance to work with cutting-edge cloud and streaming technologies at a market leader.

🎯 What You'll Do

• Design and implement scalable data solutions on cloud platforms.
• Collaborate with cross-functional teams to define data policies and governance.
• Evaluate and recommend data management tools and technologies.
• Lead architecture reviews, code reviews, and high-level troubleshooting.

📋 Requirements

• Bachelor's or Master's in Computer Science, Data Science, or related field.
• Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
• Proficiency in Python, Java, or Scala for data engineering.
• Experience with streaming architectures using Kafka, EventHub, or Kinesis.

✨ Nice to Have

• Experience defining and evolving enterprise semantic layers.
• Knowledge of ontologies, taxonomies, or formal conceptual models.
• Background in data modeling for business entities and metrics.

🎁 Benefits & Perks

• 🏥 Health and dental insurance
• 🏋️ Wellhub (Gympass)
• 🍽️ Flexible meal and food vouchers
• 👶 Parental leave: 6 months maternity, 20 days paternity
• 🏦 Exclusive investment funds and credit options

📨 Hiring Process

Estimated timeline: 4-8 weeks

1. 1Initial Screening· 1 week
2. 2General Tests (Mindsight + Predictive Index)· 1 week
3. 3Video Interview· 30 min
4. 4Recruitment Interview· 1 hour
5. 5Technical Assessment· 2 hours
6. 6Leadership Interview· 1 hour

🚩 Heads Up

• Many interview steps (9 stages) may indicate a lengthy process.
• Excessive requirements blending architecture, engineering, and governance roles.