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Avensys is a reputed global IT professional services company, and our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. And we service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain Job Summary We are seeking an experienced Engineering Manager to lead a team of Data Engineers in designing, developing, and delivering scalable data platforms on Databricks. The role involves driving technical excellence, people leadership, delivery management, stakeholder engagement, and continuous improvement while ensuring high-quality, secure, and reliable data solutions. Please note the EM role requires a 50% delivery focus and 50% hands-on technical expertise on the Databricks platform, along with strong stakeholder communication skills, preferably within banking Key Responsibilities Technical Leadership Lead the design and implementation of scalable data platforms using Databricks. Define technical architecture, coding standards, and engineering best practices. Drive adoption of modern data engineering patterns including Medallion Architecture. Review solution designs, code, and performance optimization strategies. Ensure data security, governance, and compliance standards are followed. Delivery Management Own end-to-end delivery of multiple data engineering initiatives. Plan sprint execution and manage project timelines. Identify and mitigate delivery risks and dependencies. Ensure production readiness and successful release management. Drive continuous improvement in engineering processes. People Management Lead and mentor a team of Data Engineers and Technical Leads. Conduct performance reviews and career development discussions. Support hiring, onboarding, and capability development. Foster a culture of collaboration, innovation, and accountability. Stakeholder Management Collaborate with Product Owners, Architects, Business stakeholders, and Platform teams. Communicate delivery progress, risks, and technical decisions. Manage stakeholder expectations and prioritize business requirements. Operational Excellence Ensure platform reliability, availability, and performance. Drive root cause analysis for production incidents. Improve monitoring, alerting, and observability. Optimize cloud infrastructure and operational costs. Required Skills Databricks Databricks Workspace Delta Lake Delta Live Tables (DLT) Unity Catalog Databricks Workflows Auto Loader Structured Streaming MLflow (preferred) Photon Engine Databricks Asset Bundles (preferred) AI Skills Nice to Have Genie & Cursor AI Cloud Platforms Microsoft Azure AWS or Google Cloud Platform Cloud Storage (ADLS, S3, GCS) Data Engineering Apache Spark (PySpark and Spark SQL) Python SQL Data Warehousing ETL/ELT Design Medallion Architecture Batch and Streaming Data Pipelines Data Modeling (Star, Snowflake, Data Vault) DevOps & CI/CD Git Azure DevOps / GitHub CI/CD Pipelines Terraform (preferred) Infrastructure as Code Database Technologies SQL Server Oracle Snowflake PostgreSQL NoSQL databases (preferred) Leadership Skills Engineering leadership Team management Agile delivery Stakeholder management Risk management Conflict resolution Coaching and mentoring Resource planning Budget and capacity planning Preferred Experience 1015+ years of experience in Data Engineering. 35+ years of experience leading engineering teams. Hands-on experience with Databricks on Azure, AWS, or GCP. Experience building enterprise-scale data platforms. Solid understanding of cloud-native architectures and data governance. Experience with performance tuning, cost optimization, and production support. Nice to Have Databricks Certified Data Engineer Professional Azure Data Engineer Associate Azure Solutions Architect Experience with Apache Kafka or Event Hubs Knowledge of AI/ML pipelines and Generative AI Experience with Data Mesh or Data Fabric architectures Its a mix of technical + delivery role. Say 50-50 Good Communication skills. Databricks experience is a must. Banking /Financial service experience . Leading couple of squads (20+ members) to deliver outcome with delivery and quality focus is a must. Solution and Design experience is a must. Good planning skills is a must. SQL is a must, Python/pyspark positive to have. Experience in end-to-end delivery from requirements to production and post go live support. Experience in project estimations, budgeting, and costing CONSULTANT DETAILS Consultant Name: Emimal Joshwa Reg No: 201201037177 Avensys Consulting Sdn Bhd .
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.