Career141

Senior Data Engineer

Summary

Colombo,

Sri Lanka

On-Site

LKR

700000

-

900000

Full-time

Category

Other

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Roles & Responsibilities

Client : UK

Job Title: Senior Data Engineer

Level : T2 Level

Experience : 6 – 8 plus years of experience

We’re looking for an experienced Senior Data Engineer to help design, build, and optimize modern data platforms, enabling seamless data collection, transformation, and sharing across multiple business units in the insuracnce and finance space. This role blends hands-on engineering with strategic input, offering the opportunity to shape the company’s long-term data capabilities.

Mandatory Skill ( 100% hands on experience )

  • Azure Databricks Administration
  • Python, Pyspark
  • MS SQL
  • DATASTREAMNG & Pipeline

Other skills

  • CI / CD Container
  • SPARK
  • HADOOP

Key Responsibilities

  • Design, build, and maintain data pipelines and integrations across internal and external data sources.
  • Work with cross-functional teams to understand data needs and deliver scalable solutions.
  • Develop data architecture standards, frameworks, and best practices for ongoing development.
  • Implement data quality, governance, and security practices across the platform.
  • Leverage Azure Data & Analytics tools to design efficient, cloud-native data solutions.
  • Support master data management (MDM) and other enterprise-wide data initiatives.
  • Collaborate closely with stakeholders to improve how data is accessed and used across the organization.

Skills & Competencies

  • Excellent communication and collaboration skills to engage both technical and business teams.
  • Ability to influence data strategy and promote a data-driven culture.
  • Strong analytical thinking, problem-solving, and adaptability in fast-paced environments.
  • Eagerness to experiment with new technologies and propose innovative approaches.

Pre Requisites

  • Minimum 6 – 8 years’ experience in data engineering or a related field.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related discipline.
  • Hands-on experience with Azure Data Services, including Azure Synapse Analytics, SQL Server, and Azure SQL.
  • Strong SQL development and data modeling skills.
  • Proficiency in Python and familiarity with Spark or similar frameworks.
  • Experience with data transformation, cleaning, and migration projects.
  • Exposure to Agile development environments

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