Takeda

Pharma

DataEngineer

Bengaluru, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Engineer at Takeda. Skills: Databricks Operations, ETL Platform Management, Workflow Orchestration, Operational Metrics, Incident & Problem Management, Leadership, Communication. Support data operations and ETL workflows. Ensure robust data pipelines and reliable analytics environments”

What You'll Achieve.

Drive MTTA / MTTR improvements; Ensure robust data pipelines and reliable analytics environments; Maintain data quality; Enable data-driven decision-making; Meet business needs; Adhere to Takeda standards; Incorporate best practices; Operational readiness of new data pipelines; System reliability; Cost optimization; SLA adherence; Job success rate; MTTA; MTTR; Recurring issue trend reduction; Quality and availability KPIs

Industry & Context.

Pharma
Problems you'll solve

Troubleshoot issues; Drive MTTA / MTTR improvements through automation and proactive analysis; Oversee incident response, RCA documentation, and recurring issue elimination; Directly support or coordinate with the help of DD&T SMEs complex data challenges to find fit-for-purpose solutions; Coaches engineers on structured problem-solving and incident ownership

Eligibility Requirements

Shift Timing: 3:00 PM – 12:00 AM IST, Company-Provided Transport: Available at scheduled times for 2nd shift employees, Security Escort for Drop-Off: Female employees receive a security escort, Shift Allowance: Additional shift allowance will be provided, Food/Meal: Meal will be provided for the 2nd shift employees, On-call rotation

What They're Looking For.

Must Have

8–12 years of total experience in Data Operations / Data Engineering, Minimum 2–3 years managing production data environments (Databricks, ETL, or Cloud Data Ops), Proven track record of reducing MTTR, increasing job success rates, and improving operational maturity

Nice to Have

Prior experience in Pharma or Life Sciences preferred, Domain Knowledge (Nice to Have): Understanding of Pharma commercial data flows (Sales, CRM, MDM, IQVIA feeds)

What You'll Do.

Support data operations and ETL workflows

Ensure robust data pipelines and reliable analytics environments

Maintain data quality

Enable data-driven decision-making

Own end-to-end health of Databricks

and Airflow environments

Monitor daily pipeline performance

Drive MTTA / MTTR improvements through automation and proactive analysis

Oversee incident response

and recurring issue elimination

Maintain and evolve operational dashboards and SLA tracking metrics

Review and approve all production change requests and deployments

Maintain pipelines that meet business needs

adhere to Takeda standards

and incorporate best practices

Lead technical solution reviews with stakeholders

Directly support or coordinate with the help of DD&T SMEs complex data challenges to find fit-for-purpose solutions

Take full accountability of data products and help plan

and support for ongoing operation of KPI’s for quality and availability

Work with DevOps teams to operationalize data products and help in troubleshooting when needed

Lead and mentor a team of 4–8 DataOps Engineers (Databricks + ETL + Airflow)

Establish 24x7 monitoring coverage

and escalation protocols

Drive standardization via runbooks

Define KPIs such as SLA adherence

and recurring issue trend reduction

mentor and coach other data and analytic professionals

Partner with data architects

and business owners to ensure operational readiness of new data pipelines

Collaborate with CloudOps

and Platform Engineering on system reliability and cost optimization

Serve as the primary contact for incident communications to business stakeholders

Identify repetitive manual tasks and partner with engineers to automate them

Promote best practices for observability

and data quality monitoring

Analyze production metrics and recommend processes or tool improvements

Help adopt changes in solutioning and ways of working

Stay current with relevant data providers and technology trends

How You'll Work.

Team & Collaboration

Work closely with cross-functional teams; Partner with data architects, analysts, and business owners; Collaborate with CloudOps, Security, and Platform Engineering; Serve as the primary contact for incident communications to business stakeholders

Communication Scope

Effective communicator with both technical and business; Translates incidents into business terms

Process & Methodology

Plan, mature, and support for ongoing operation of KPI’s for quality and availability

Full Job Description

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s [Privacy Notice](https://jobs.takeda.com/privacynotice) and [Terms of Use](https://www.takeda.com/terms-and-conditions/). I further attest that all information I submit in my employment application is true to the best of my knowledge. ## **Job Description** **The Future Begins Here** At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the needs of patients, our people, and the planet. **Bengaluru** has been selected to be home to Takeda’s recently launched Innovation Capability Center thanks to its international recognition in qualified and experienced talent in the data, digital, and technology fields. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. ### ## **At Takeda’s ICC We Unite in Diversity** Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for the backgrounds and abilities they bring to our company. We are continuously improving our collaborators’ journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. ## ## **The Opportunity** As a **Data Engineer** , you will support data operations and ETL workflows, ensuring robust data pipelines and reliable analytics environments. You will work closely with cross-functional teams to maintain data quality, troubleshoot issues, and enable data-driven decision-making across the organization. **Operational Leadership** • Own end-to-end health of Databricks, Informatica, and Airfl

Free ATS check

Applying for this Data Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Takeda?

Real rants from real employees. Read before you apply.

Read Company Rants →