Azure Data Engineer

Our Culture & Values:

We'd describe our culture as human, friendly, engaging, supportive, agile, and super collaborative.

At
Kainskep Solutions
, our five values underpin everything we do—from the way we work to how we delight and deliver to our customers.

Our values are:

#TeamMember #Ownership #Innovation #Challenge #Collaboration

What makes a great team? A diverse
team

Don't be put off if you don't tick all the boxes—we know from research that candidates often hesitate to apply unless they feel 100% ready. What truly matters is your ability to engage clients, build effective relationships, and bring a passion for learning. If that sounds like you, we'd love to talk.

We're committed to creating a diverse and inclusive culture where everyone feels empowered to do their best work.

Key Responsibilities:

• Architect, design, and implement end-to-end
  data engineering solutions
  within the
  Azure ecosystem
  .
• Build and maintain
  ETL pipelines
  using
  Azure Data Factory
  , ensuring data quality and seamless integration with
  Azure Data Lake Storage Gen2
  and
  Microsoft Fabric (OneLake, Lakehouse, Data Pipelines)
  .
• Develop and optimize complex
  stored procedures
  and
  data transformations
  in
  Azure Synapse Analytics
  and
  Azure Databricks
  .
• Work with
  Delta Lake
  for managing structured and semi-structured data.
• Implement
  data models
  ,
  data warehouses
  , and
  data integration frameworks
  to enable analytics at scale.
• Collaborate cross-functionally with analysts, data scientists, and business stakeholders to deliver actionable insights.
• Ensure
  data governance
  ,
  data quality
  , and
  security compliance
  across the data lifecycle.
• Automate deployments and monitoring using
  Azure DevOps
  ,
  PowerShell
  , and CI/CD pipelines.
• Continuously improve performance, scalability, and cost-efficiency across Azure workloads.
• Troubleshoot and resolve complex issues in production and development environments.

Requirements:

• Experience:
  1–3 years of hands-on experience designing and implementing data engineering solutions in the Azure ecosystem.
• Technical Skills:
• Strong proficiency in Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks
  , and
  Microsoft Fabric
  .
• Excellent command over
  SQL (mandatory)
  ,
  PLSQL
  ,
  Python
  , and familiarity with
  Scala
  .
• Hands-on experience with
  data modelling
  ,
  data warehousing
  , and
  data integration
  concepts.
• Good understanding of
  Apache Spark
  ,
  Hadoop
  , and
  big data frameworks
  .
• Working knowledge of
  DevOps
  ,
  PowerShell
  , and automation tools for deployment and monitoring.
• Experience with
  data governance
  ,
  data quality
  , and
  security best practices
  .
• Education:
  Bachelor's degree in Computer Science, Engineering, or a related field
• Certifications:
  Azure Data Engineer Associate or Azure Solutions Architect Expert preferred.

Why Kainskep Solutions?

At
Kainskep Solutions
, we support flexible working arrangements that help you balance your work, your life, and your passions.

We offer a competitive remuneration package with benefits that support your lifestyle choices, along with opportunities to participate in Kainskep Solutions' success story.

Our rapidly expanding environment encourages
continuous improvement, innovation, and career growth
.

Our collaborative and inclusive culture is one we're immensely proud of. We know that a diverse workforce is a strength that enables us—and our clients—to better understand and serve people globally.

From the moment you join us, you'll feel welcomed, valued, and supported to do the best work of your life.