Senior Data Engineer (India)
Bangalore
- Pay
INR 2,094,639–3,603,725/year — pay source
Salary 2,094,639 – 3,603,725 INR per year Stay Alert to Recruitment Scams Alimentiv is aware of a continued increase in phishing scams, which use various methods of attack via email, text, voice and social media, including individuals posing as our recruiters and contacting candidates with fraudulent opportunities. Our hiring process always includes direct engagement with a recruiter or hiring manager, and we will never ask for sensitive personal information early in the process.
Read the full posting- Work setting
Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting- Employment
Full-time · Permanent — employment source
Employment type Full-time, Permanent
Employment type in the employer’s posting: Full-time, Permanent
From the employer’s posting
What you’ll work on
Full postingArchitect and implement end-to-end data solutions on Azure Databricks, Fabric and Data Factory
Develop and optimise data pipelines for ingestion, transformation and consumption
Design bronze, silver and gold data layers in lake and warehouse architectures
Optimise Spark and SQL workloads for performance and cost
Mentor junior engineers and lead design reviews
From the employer’s posting
Architect, design, and implement scalable end-to-end data solutions using Azure Databricks, Microsoft Fabric, PySpark, Azure Data Factory, and Azure SQL.
Develop, maintain, and optimise data pipelines supporting data ingestion, transformation, integration, and consumption across enterprise platforms.
Design and implement data models across bronze, silver, and gold layers within modern data lake and warehouse architectures.
Optimise Spark and SQL workloads to improve performance, scalability, reliability, and cost efficiency.
Provide technical leadership, mentor junior engineers, lead design reviews, and contribute to data architecture roadmaps and continuous improvement initiatives.
Education & alternatives
Skills & Qualifications - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline; a Master's degree is preferred. - 5–8 years of experience designing, developing, and delivering enterprise-scale data solutions, including data warehouses, data lakes, and operational databases.
Tools in this posting
- SQL
- Azure
- Databricks
- Looker
- Power BI
- SQL Server
- Tableau
- Terraform
- PySpark
Source — Tool mentions in context
We are seeking an experienced Lead Data Engineer to design, develop, and deliver scalable, high-performance data solutions that support enterprise analytics, business intelligence, and AI/ML initiatives. In this role, you will lead the development of modern data architectures and automated data pipelines using Azure Databricks, Microsoft Fabric, PySpark, SQL, and Azure technologies. You will play a key role in ensuring data quality, governance, and accessibility while enabling advanced analytics and data-driven decision-making. Working closely with technical teams and business stakeholders, you will provide technical leadership, mentor junior engineers, and drive continuous improvements across the organisation's data ecosystem.
Key Responsibilities - Architect, design, and implement scalable end-to-end data solutions using Azure Databricks, Microsoft Fabric, PySpark, Azure Data Factory, and Azure SQL. - Develop, maintain, and optimise data pipelines supporting data ingestion, transformation, integration, and consumption across enterprise platforms.
- Design and implement data models across bronze, silver, and gold layers within modern data lake and warehouse architectures. - Optimise Spark and SQL workloads to improve performance, scalability, reliability, and cost efficiency. - Build API-based integrations, real-time data ingestion frameworks, and reusable pipeline templates to streamline data processing.
- 5–8 years of experience designing, developing, and delivering enterprise-scale data solutions, including data warehouses, data lakes, and operational databases. - Expert-level proficiency in Azure Databricks, Microsoft Fabric, PySpark, SQL, and Azure DevOps. - Proven hands-on experience with Azure Data Factory, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure SQL Server.
- Expert-level proficiency in Azure Databricks, Microsoft Fabric, PySpark, SQL, and Azure DevOps. - Proven hands-on experience with Azure Data Factory, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure SQL Server. - Strong understanding of modern data architectures, data modelling, integration, metadata management, data cataloguing, and governance principles.
- Build API-based integrations, real-time data ingestion frameworks, and reusable pipeline templates to streamline data processing. - Drive automation through Azure DevOps, Git-based CI/CD pipelines, and automated testing frameworks to ensure reliable production deployments. - Prepare and maintain high-quality datasets and analytical models to support business intelligence, reporting, self-service analytics, and AI/ML initiatives.
- Proficiency in CI/CD practices, Git version control, automated testing, and infrastructure-as-code tools such as ARM, Bicep, or Terraform. - Experience with Power BI and developing data models for business intelligence and self-service analytics; knowledge of Tableau or Looker is advantageous. - Understanding of GxP, GDPR, HIPAA, and relevant regulatory requirements; experience within life sciences or healthcare is highly desirable.
- Experience developing automated data pipelines using REST APIs, JSON, real-time ingestion technologies, and reusable integration frameworks. - Proficiency in CI/CD practices, Git version control, automated testing, and infrastructure-as-code tools such as ARM, Bicep, or Terraform. - Experience with Power BI and developing data models for business intelligence and self-service analytics; knowledge of Tableau or Looker is advantageous.
Benefits in the posting
Full benefits wording- In addition, as an Alimentiv Employee, you’re also eligible for the following programs:
- Education Reimbursement program for full-time employees
- Monthly Cell Phone and Remote Work Allowance (dependent on role eligibility)
- One time office setup allowance (can be used to purchase a scanner/printer, extra monitor, office furniture, etc.)
- Flexible Summer Hours Program from May – September
- Additional benefits may be available depending on the country of employment and are subject to local policies and eligibility.
- Our Services
- Central medical imaging management and endoscopic reading
- Precision medicine and biomarker solutions
- Real-world evidence and clinical consulting
- Histopathology and lab services through AcelaBio
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 2, 2026 · 28 days ago
- Recorded sightings
- 21
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Already applied? Track this application
Job description
Alimentiv is a global CRO with a singular focus: advancing therapies for patients with gastrointestinal diseases. GI is our WHY and for more than 30 years that purpose has driven our scientific rigour, operational excellence, and deep therapeutic expertise, including supporting more than 70% of IBD compounds in development.
We operate as a private, profit-with-purpose company, channeling our commercial success back into scientific research, technology, and our people. With approximately 700 people across multiple countries and three service lines, we are growing deliberately, and the capability of our leaders and our organization is central to how we get there.
If you want to do meaningful work, build something real, and invest back in research that changes lives — we want to meet you!
Job Overview
We are seeking an experienced Lead Data Engineer to design, develop, and deliver scalable, high-performance data solutions that support enterprise analytics, business intelligence, and AI/ML initiatives.
In this role, you will lead the development of modern data architectures and automated data pipelines using Azure Databricks, Microsoft Fabric, PySpark, SQL, and Azure technologies. You will play a key role in ensuring data quality, governance, and accessibility while enabling advanced analytics and data-driven decision-making.
Working closely with technical teams and business stakeholders, you will provide technical leadership, mentor junior engineers, and drive continuous improvements across the organisation's data ecosystem.
Key Responsibilities
-
Architect, design, and implement scalable end-to-end data solutions using Azure Databricks, Microsoft Fabric, PySpark, Azure Data Factory, and Azure SQL.
-
Develop, maintain, and optimise data pipelines supporting data ingestion, transformation, integration, and consumption across enterprise platforms.
-
Design and implement data models across bronze, silver, and gold layers within modern data lake and warehouse architectures.
-
Optimise Spark and SQL workloads to improve performance, scalability, reliability, and cost efficiency.
-
Build API-based integrations, real-time data ingestion frameworks, and reusable pipeline templates to streamline data processing.
-
Drive automation through Azure DevOps, Git-based CI/CD pipelines, and automated testing frameworks to ensure reliable production deployments.
-
Prepare and maintain high-quality datasets and analytical models to support business intelligence, reporting, self-service analytics, and AI/ML initiatives.
-
Ensure compliance with data governance, security, and regulatory requirements, including GxP, GDPR, and HIPAA, where applicable.
-
Collaborate with business stakeholders, analysts, and IT teams to translate business requirements into effective data engineering solutions.
-
Provide technical leadership, mentor junior engineers, lead design reviews, and contribute to data architecture roadmaps and continuous improvement initiatives.
-
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline; a Master's degree is preferred.
-
5–8 years of experience designing, developing, and delivering enterprise-scale data solutions, including data warehouses, data lakes, and operational databases.
-
Expert-level proficiency in Azure Databricks, Microsoft Fabric, PySpark, SQL, and Azure DevOps.
-
Proven hands-on experience with Azure Data Factory, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure SQL Server.
-
Strong understanding of modern data architectures, data modelling, integration, metadata management, data cataloguing, and governance principles.
-
Experience developing automated data pipelines using REST APIs, JSON, real-time ingestion technologies, and reusable integration frameworks.
-
Proficiency in CI/CD practices, Git version control, automated testing, and infrastructure-as-code tools such as ARM, Bicep, or Terraform.
-
Experience with Power BI and developing data models for business intelligence and self-service analytics; knowledge of Tableau or Looker is advantageous.
-
Understanding of GxP, GDPR, HIPAA, and relevant regulatory requirements; experience within life sciences or healthcare is highly desirable.
-
Strong communication, stakeholder management, problem-solving, and technical leadership skills, with the ability to work independently, mentor colleagues, and deliver projects within deadlines
What We Offer
- Education Reimbursement program for full-time employees
- Monthly Cell Phone and Remote Work Allowance (dependent on role eligibility)
- One time office setup allowance (can be used to purchase a scanner/printer, extra monitor, office furniture, etc.)
- Working while visiting program – up to 4 weeks per year!
- Flexible Summer Hours Program from May – September
- Employee referral incentive – we know great people know other great people, and we think that warrants recognition!
- Full-time employees also become beneficiaries of the Alimentiv Trust after one year of employment, and permanent members after 5 years of employment
- Optional formal mentorship program (Alimentorship); country/region annual social events in person; leadership development programs for people leaders in accordance with your seniority; social committee and several other optional initiatives designed to support you in feeling like part of the Alimentiv team!
In addition, as an Alimentiv Employee, you’re also eligible for the following programs:
Additional benefits may be available depending on the country of employment and are subject to local policies and eligibility.
Our Services
- End-to-end GI clinical trial services, from protocol design through submission support
- Central medical imaging management and endoscopic reading
- Precision medicine and biomarker solutions
- Real-world evidence and clinical consulting
- Histopathology and lab services through AcelaBio
How to Apply
To apply for this position, please submit your resume through the Alimentiv Careers Portal or via LinkedIn’s Easy Apply. Resumes must be submitted in English.
Equal Opportunity and Accessibility
Salary
2,094,639 – 3,603,725 INR per year
Alimentiv is aware of a continued increase in phishing scams, which use various methods of attack via email, text, voice and social media, including individuals posing as our recruiters and contacting candidates with fraudulent opportunities. Our hiring process always includes direct engagement with a recruiter or hiring manager, and we will never ask for sensitive personal information early in the process.
Official communication will only come from company email addresses containing "@alimentiv.com". If you are contacted about an open job at Alimentiv, please verify the domain of the sender's email address and confirm that you are being asked to apply on this website. If something doesn't feel right, we encourage you to verify before responding. If you believe you have been the victim of a phishing scam, please contact your local government cyber authority to report it.
Employment type
Full-time, Permanent
Source details
Source notes
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- Pay
Salary 2,094,639 – 3,603,725 INR per year Stay Alert to Recruitment Scams Alimentiv is aware of a continued increase in phishing scams, which use various methods of attack via email, text, voice and social media, including individuals posing as our recruiters and contacting candidates with fraudulent opportunities. Our hiring process always includes direct engagement with a recruiter or hiring manager, and we will never ask for sensitive personal information early in the process.
- Location & working pattern
Bangalore
- Education Reimbursement program for full-time employees - Monthly Cell Phone and Remote Work Allowance (dependent on role eligibility) - One time office setup allowance (can be used to purchase a scanner/printer, extra monitor, office furniture, etc.)
More source context
- Optional formal mentorship program (Alimentorship); country/region annual social events in person; leadership development programs for people leaders in accordance with your seniority; social committee and several other optional initiatives designed to support you in feeling like part of the Alimentiv team! Additional benefits may be available depending on the country of employment and are subject to local policies and eligibility. Our Services
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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