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Job Description Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. We are looking for a Data Engineer with experience in Databricks and Azure to join our growing data engineering community. In this role, you will help design and implement modern data platforms, scalable data pipelines, and analytics solutions that enable organizations to make better data-driven decisions. You will work closely with data architects, BI developers, and customer stakeholders, working in an Agile environment to deliver reliable and high-quality data solutions. Key Responsibilities Developing scalable ETL/ELT pipelines using Databricks, Spark/PySpark, and SQL Designing and implementing data lakes, lakehouse architectures, and analytics platforms Integrating data from multiple enterprise systems Building analytics-ready datasets supporting BI, advanced analytics, and AI workloads Optimizing Spark workloads, data models, and pipeline performance Supporting data platform modernization and migration from legacy ETL solutions Working in Agile teams with architects, analysts, and customer stakeholders Contributing to engineering best practices, reusable patterns, and knowledge sharing Required Experience & Qualifications 2 + years of experience in Data Engineering or similar roles Strong programming skills in SQL and Python/PySpark Hands-on experience with Databricks and Apache Spark Experience with Azure or AWS data services Experience building ETL/ELT pipelines and data integration solutions Understanding of data lakes, data warehouses, and data modeling Experience with Git and modern development practices Ability to work in Agile teams and a consulting environment Excellent spoken and written English language skills A significant advantage would be Experience in banking, authoritative reporting and manufacturing domains Certifications in Databricks, Azure, or AWS Experience in AI agent development and architecture, including Databricks Agent Bricks and Mosaic AI Experience with data platform modernization or ETL migration projects Experience with Delta Lake, Snowflake, or Microsoft Fabric Experience with Power BI or other analytics tools Experience working in international environments Additional Information At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Diversity, equity and inclusion | Sustainability | Tieto
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.