Atlassian In…
Job ID · 20373

Senior Data Engineering Manage · Bengaluru or Remote

Atlassian India · Atlassian India

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Job highlights

Designation Offered

Senior Data Engineering Manage

Job Role

Data Engineer

Department

AI, ML and Data Analytics

Job Type

Fulltime

Salary

1

Experience

3–6 years

Job Location

Bengaluru or Remote

Education

Bachelor's Degree

Posted by

Atlassian India

Posted On

17 Jul 2026

Valid until

15 Sept 2026

Skillset required

Data Pipelines

Job Description for Senior Data Engineering Manage

A role-focused description with responsibilities, expectations, and qualifications for this opening.

AI, ML and Data Analytics

Senior Data Engineering Manager is a delivery-focused opportunity based in Bengaluru or Remote, India.

Lead and grow a team of data engineers to design, build, and maintain scalable data pipelines and platforms that empower analytics and data-driven decision making.

Key Responsibilities

  • Lead and grow a team of data engineers to design, build, and maintain scalable data pipelines and platforms that empower analytics and data-driven decision making
  • Own core deliverables associated with the Data Engineering Manager role and execute them with strong accountability.
  • Collaborate with cross-functional stakeholders to move work from planning through completion.
  • Translate goals into clear actions, priorities, and day-to-day execution plans.
  • Track progress closely and surface blockers before they affect outcomes.
  • Apply sound judgment to maintain quality, consistency, and timely delivery.
  • Create and maintain documentation, updates, or reporting that keeps stakeholders aligned.
  • Identify process gaps and recommend practical improvements based on observed friction.
  • Balance multiple priorities while keeping commitments visible and manageable.
  • Support problem-solving across routine work and higher-priority escalations as needed.
  • Bring structure, follow-through, and clarity to ambiguous or evolving workstreams.
  • Collaborate respectfully across teams and use feedback to improve execution quality.

Preferred Qualifications

  • Bachelor's degree or equivalent practical experience in a relevant field.
  • Strong communication and stakeholder-management skills.
  • Ability to organize work clearly, prioritize effectively, and deliver with consistency.
  • Strong problem-solving ability with attention to detail and quality.
  • Comfort collaborating across teams while maintaining personal accountability.
  • A proactive mindset focused on ownership, execution, and continuous improvement.

Applications should be submitted through the listed apply link.

About this opening

Atlassian India is hiring a Data Engineer in the AI, ML and Data Analytics team based in Bengaluru or Remote.

This role is fulltime, flexible, 3–6 years experience, up to ₹1 per year—matched against UnoJobs' verified employer data.

Skills evaluated for this opening include Data Pipelines. Apply directly through UnoJobs to keep your application visible to Atlassian India without bouncing across multiple sites.

Role
Data Engineer
Department
AI, ML and Data Analytics
Location
Bengaluru or Remote
Work mode
Flexible
Experience
3–6 years
Compensation
up to ₹1 per year

Common questions about this Senior Data Engineering Manage role

Quick answers before you apply — updated for candidates searching from Google and AI assistants.

What tools do Bengaluru or Remote data analyst jobs usually require?
Senior Data Engineering Manage listings in Bengaluru or Remote often mention Excel, SQL, Python, Power BI, or Tableau. This posting's skills section above is the best signal for what Atlassian India expects on day one.
Are fresher data analyst jobs available in Bengaluru or Remote?
Some Bengaluru or Remote data analyst roles accept freshers; this listing shows 3–6 years in the highlights. Filter fresher-friendly openings on UnoJobs Bengaluru or Remote hubs.
What is the typical salary for this analyst role?
This job lists up to ₹1 per year. Analyst pay in Bengaluru or Remote scales with SQL depth, domain knowledge (BFSI, e-commerce, SaaS), and internship history.

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