Senior Data Engineer - Azure
About this role
Overview
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a deep understanding of Microsoft Azure's Data Analytics Platform and possess extensive experience with tools such as Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI. Knowledge of Microsoft Fabric is preferred but not necessary. This role requires a leader capable of guiding a team or multiple teams of Data Engineers and delivering successful Data Engineering projects. With 5 to 8 years of experience in the field, the Senior Data Engineer will play a crucial role in transforming raw data into actionable insights that drive our business forward.
Responsibilities
- Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.
- Leverage Apache Spark or Databricks for big data processing and analytics.
- Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools.
- Lead and mentor teams of Data Engineers, providing technical guidance and oversight to ensure project success.
- Collaborate with cross-functional teams, including data scientists, business analysts, and IT professionals, to understand data needs and deliver comprehensive data solutions.
- Implement and maintain data security and compliance measures in line with organizational policies and regulations.
- Stay abreast of industry trends and advancements in data engineering and analytics technologies, applying best practices to improve processes and solutions.
- Drive the adoption of innovative data engineering techniques and tools, fostering a culture of continuous improvement and learning.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 3 to 6 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.
- Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
- Experience leading and managing teams of Data Engineers in a fast-paced environment.
- Strong understanding of data modeling, ETL processes, and data warehousing principles.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Knowledge of Microsoft Fabric is preferred but not necessary.
- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
Company at a glance
tkxel is an AI-native technology partner helping businesses build intelligent systems for lasting business value.
Since 2008, we have helped businesses solve complex digital and operational challenges through software engineering, product development, and delivery execution. Today, that foundation is strengthened by AI, cloud, data, and cybersecurity expertise, enabling us to build solutions that are scalable, secure, and designed around real business workflows.
Our work focuses on the technology priorities businesses are navigating now: moving AI from pilots to production, using generative AI and AI agents to improve real workflows, modernizing legacy systems, automating manual processes, and building secure digital products that scale.
With 18+ years in business, tkxel brings the experience and execution depth to help businesses move from ambition to real-world execution. We are proud to be recognized by Inc. 5000 as one of America’s fastest-growing private companies, named among the 2025 Global Top 100 Inspiring Workplaces, and ranked among Asia’s Top 10 Inspiring Workplaces.
Our global footprint includes the United States, Portugal, Saudi Arabia, and Pakistan, connecting client strategy with distributed engineering delivery.
We help businesses build intelligent systems to lead in the AI era.
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