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Join an exciting journey to create a cutting-edge Consumer Data Lake for a leading global organization based in Europe. This platform will unify, process, and leverage consumer data from various systems, unlocking advanced analytics, insights, and personalization opportunities. As a Senior Data Engineer, you will play a pivotal role in shaping and implementing the platform's architecture, focusing on hands-on technical execution and collaboration with cross-functional teams. Your work will transform consumer data into actionable insights and personalization on a global scale. Using advanced tools to tackle complex challenges, you’ll innovate within a collaborative environment alongside skilled architects, engineers, and leaders. Key Responsibilities: Hands-On Development: Build, maintain, and optimize data pipelines for ingestion, transformation, and activation. Create and implement scalable solutions to handle diverse data sources and high volumes of information Data Modeling & Warehousing: Design and maintain efficient data models and schemas for a cloud-based data platform. Develop pipelines to ensure data accuracy, integrity, and accessibility for downstream analytics. Collaboration: Partner with Solution Architects to translate high-level designs into detailed implementation plans. Work closely with Technical Product Owners to align data solutions with business needs. Collaborate with global teams to integrate data from diverse platforms, ensuring scalability, security, and accuracy. Platform Development: Enable data readiness for advanced analytics, reporting, and segmentation. Implement robust frameworks to monitor data quality, accuracy, and performance. Testing & Quality Assurance: Implement robust security measures to protect sensitive consumer data at every stage of the pipeline Ensure compliance with data privacy regulations (e.g., GDPR, CCPA ..) and internal policies. Monitor and address potential vulnerabilities, ensuring the platform adheres to security best practices. Requirements: Over 4+ years of experience showcasing technical expertise and critical thinking in data engineering. Hands-on experience with DBT and strong Python programming skills. Proficiency in Snowflake and expertise in data modeling are essential. Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required. In-depth understanding of privacy and security engineering within Snowflake, including concepts like RBAC, dynamic/tag-based data masking, row-level security/access policies, and secure views. Ability to design, implement, and promote advanced solution patterns and standards for solving complex challenges. Familiarity with multiple cloud platforms (Azure or GCP preferred, with a focus on Azure). Practical experience with Big Data batch and streaming tools. Competence in SQL, NoSQL, relational database design (SAP HANA experience is a bonus), and efficient methods for data retrieval and preparation at scale. Proven ability to collect and process raw data at scale, including scripting, web scraping, API integration, and SQL querying. Experience working in global environments and collaborating with virtual teams. A Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.