CrawlJobs Logo

Senior Manager, Data Engineer

India, Mumbai · Job Posted February 20, 2026
Apply Position
Job Link Share

Job Description

The Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world. As a Senior Manager, Data Engineer, you will play a pivotal, hands-on role creating the data solutions that fuel our most advanced AI and analytics applications. By collaborating closely with subject matter experts and data scientists, you will develop the robust data models, pipelines, and feature stores required to power everything from statistical analysis to complex AI and machine learning models. Your primary mission is to build the data foundation for high-impact projects such as ROI analysis, DT, Field Force sizing, On demand analytics, Data Strategy, Multi-Agents. You will be central to delivering new, innovative capabilities by enabling the deployment of cutting-edge AI and machine learning algorithms, directly helping the business solve its most challenging problems and create value. This is a dynamic, fast-paced, and highly collaborative role, covering a broad range of strategic topics critical to the pharma business.

Job Responsibility

  • Advanced Layer Development: Leads the development of core data components for our advanced analytics layer and agentic data layers, enabling next-generation analytics and AI tools
  • Data Strategy Execution: Works closely with cross-functional teams to help execute the enterprise Data Strategy, translating roadmaps into technical designs and building solutions using standard technology stacks
  • Building AI & RAG Pipelines: Designs and builds end-to-end data pipelines and products specifically to power advanced AI and Retrieval-Augmented Generation (RAG) applications for the Commercial Pharma domain
  • Enabling Advanced Analytics: Builds the clean, reliable data foundation that enables the use of statistical analysis, machine learning, and AI models like RAG to uncover patterns and insights
  • Business Impact: Delivers the high-quality, performant data that forms the basis of meaningful recommendations and drives concrete strategic decisions for brand and commercial strategy
  • Innovation: Stays abreast of analytical trends and cutting-edge applications of data science and AI, including RAG and agentic systems, actively applying new techniques and tools to improve data pipelines
  • Quality & Governance: Implements and adheres to best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance in all developed solutions

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field
  • 9+ years of experience in Data or Analytics Engineering
  • Strong Python Skills: Proven ability to write clean, performant, and maintainable Python for data engineering, with proficiency in libraries like Polars, Pandas and Numpy
  • Modern Data Stack & Systems: Extensive hands-on experience with large-scale distributed systems, including dbt, Airflow, Spark, and Snowflake
  • Data Modeling & Databases: A strong background in building and managing complex data models and warehouses, with experience across both SQL and NoSQL databases
  • Data Quality & Observability: Experience implementing and managing frameworks for data quality testing, observability, and alerting
  • Modern Software Development: Solid experience with modern software development workflows, including Git, CI/CD, and Docker, to automate analytics processes
  • Project Leadership: Experience mentoring other engineers and leading technical projects

Nice to have

  • Pharma Analytics: Experience with pharmaceutical data and a track record of delivering business impact in the commercial pharma sector
  • Data Engineering Best Practices: Experience with performance tuning, cost optimization, and managing large-scale data infrastructure
  • Dashboard Development: Experience building dashboards using tools like Tableau, Power BI, or Streamlit
  • Business Communication: The ability to explain data limitations and how they affect business questions to non-technical audiences
  • Data Product Management: Familiarity with the principles of managing data as a product

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Manager, Data Engineer

8 matching positions

New

Senior Manager, Senior Data Engineer – Paid Marketing

Responsible for designing and delivering scalable data pipelines and data soluti...
Location
Location
United States , Bethesda
Salary
Salary:
100400.00 - 198900.00 USD / Year
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
July 17, 2026
Flip Icon
Requirements
Requirements
  • Strong experience building cloud-based data solutions (AWS + Snowflake preferred)
  • Hands-on expertise in data pipeline orchestration (Airflow) and modern ETL/ELT patterns
  • Advanced proficiency in SQL and data modeling for analytics and reporting use cases
  • Solid understanding of data governance, quality, and security principles
  • Experience working with large-scale, distributed data systems supporting analytics or personalization
  • Strong collaboration skills with ability to work across engineering, product, and business teams
Job Responsibility
Job Responsibility
  • Design and implement end-to-end data pipelines (ingestion, transformation, and delivery) using Airflow and Snowflake to support marketing data use cases
  • Develop and optimize data models and curated datasets to enable analytics, reporting, and downstream data products
  • Collaborate with engineering, product, and business teams to translate requirements into scalable data solutions aligned with platform standards
  • Ensure data quality, governance, security, and compliance across pipelines and datasets
  • Improve performance, reliability, and cost efficiency of Snowflake workloads and orchestration workflows
  • Contribute to platform modernization efforts, including automation, standardization, and reusable pipeline frameworks
  • Support and mentor engineers by promoting best practices in data engineering, testing, and deployment
What we offer
What we offer
  • 401(k) plan
  • stock purchase plan
  • discounts at Marriott properties
  • commuter benefits
  • employee assistance plan
  • childcare discounts
  • medical
  • dental
  • vision
  • health care flexible spending account
  • Fulltime
Read More
Arrow Right

Senior Software Engineer (Supplier Data Manager)

Akeneo is the Product Experience (PX) company and global leader in Product Infor...
Location
Location
France; United Kingdom , Paris; London; Nantes
Salary
Salary:
Not provided
akeneo.com Logo
Akeneo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant hands-on engineering experience
  • Excellent Python or PHP skills
  • Deep strength in at least Python or PHP
  • Familiarity with cloud-native infrastructure (GCP, AWS, or Azure), Kubernetes, and infrastructure-as-code is valuable
  • A customer-centric mindset
  • Comfort with ambiguity
  • Clear communication skills
  • Comfortable embracing AI in how you work
  • A mentorship instinct
  • A pragmatic, quality-driven approach
Job Responsibility
Job Responsibility
  • Scale SDM for enterprise customers
  • Build collaboration and governance features
  • Improve AI-driven data pipelines
  • Participate in structured customer discovery
  • Ship and own what you build
  • Collaborate across the Product Cloud
What we offer
What we offer
  • Flexible working hours
  • Remote or hybrid setup (allowing 3-4 days working from home)
  • Option to Work from Anywhere for up to 30 days per year
  • UK: 25 days of annual leave
  • France: 34 days of annual leave and RTTs
  • UK: £450 home office budget and £80 monthly sustainable transportation allowance
  • France: €500 home office budget and 50% discount on public transportation pass or €45/month Sustainable Transportation Allowance
  • France: €9.5 worth of meal vouchers per working day
  • UK: 26 weeks paid maternity leave, 4 weeks paid leave for second parent, up to 20 weeks fully paid shared parental leave
  • France: 16 weeks paid maternity leave, 4 weeks paid leave for second parent
  • Fulltime
Read More
Arrow Right

Senior Data Engineer / Data Analyst

N-iX is a global software development service company. Our customer is the Europ...
Location
Location
Ukraine
Salary
Salary:
Not provided
n-ix.com Logo
N-iX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience in analytics, sales operations, revenue insights, or data-driven consulting
  • Strong SQL skills (joins, window functions, performance tuning)
  • Production experience with Apache Airflow
  • Python skills for pipeline development
  • Ability to build and maintain database views (PostgreSQL, Snowflake, Redshift)
  • Solid ETL/ELT understanding
  • Clear communication with non-technical stakeholders
  • GitHub experience (branches, PRs, reviews)
  • English level - at least Upper-Intermediate, both spoken and written
Job Responsibility
Job Responsibility
  • Work with Salesforce objects and relationships to ensure correct ingestion, transformation, and integration into our reporting environment
  • Design, build, and maintain data pipelines using Apache Airflow (DAG creation, scheduling, monitoring, troubleshooting)
  • Write, optimize, and maintain SQL queries, stored procedures, and functions for data transformation and extraction
  • Create and manage database views to support analytics, reporting, and downstream applications
  • Ensure data quality, consistency, and reliability across pipelines and views (validation checks, monitoring)
  • Support QuickSuite dataset adjustments (new fields, logic changes, view extensions)
  • Document data flows, data models, and pipeline logic for long-term maintainability and handover
What we offer
What we offer
  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
Read More
Arrow Right

Software Developer - Senior / Senior Data Engineer

Imagine being at the forefront of protecting financial integrity and enabling cr...
Location
Location
United States , Southlake, TX or Austin, TX
Salary
Salary:
55.92 - 62.13 USD / Hour
aquent.com Logo
Aquent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
  • 8+ years of hands-on experience in data management, including gathering data from diverse sources, consolidating it into centralized locations, and transforming it with business logic for consumption in visualization and data analysis
  • Strong expertise in BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related cloud platform services
  • Proficiency in Python and SQL for data processing and automation
  • Extensive experience with ETL processes and data pipeline design
  • Excellent problem-solving skills and meticulous attention to detail
  • Strong communication and collaboration skills, with the ability to actively listen, dialogue freely, and verbalize ideas effectively
  • Ability to thrive in an Agile work environment, delivering incremental value to customers by effectively managing and prioritizing tasks
Job Responsibility
Job Responsibility
  • Design, build, and maintain robust and scalable data pipelines using cloud platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow), and Pub/Sub
  • Develop high-performance, production-grade Python and SQL code, optimizing queries for efficient data extraction, transformation, and loading (ETL) processes
  • Implement complex data models in BigQuery, leveraging partitioning, clustering, and materialized views to achieve optimal performance
  • Collaborate closely with cross-functional teams, including business customers and Subject Matter Experts, to gather data requirements and deliver impactful solutions
  • Implement and uphold best practices for data quality, data governance, and data security
  • Proactively monitor and troubleshoot data pipeline issues, ensuring high availability and performance of critical data flows
  • Contribute to strategic data architecture decisions, providing recommendations for continuous improvement of data pipelines
  • Stay current with emerging trends and technologies in cloud-based data engineering and cyber security to drive innovation
  • Lead investigation and resolution efforts for identified data issues, taking ownership to resolve them in a timely manner
  • Document processes and procedures thoroughly for producing accurate metrics and ensuring operational clarity
What we offer
What we offer
  • subsidized health, vision, and dental plans
  • paid sick leave
  • retirement plans with a match
Read More
Arrow Right

Senior Data Engineer, Big Data

This role is essential for designing and developing data architectures across on...
Location
Location
United States , New York; Philadelphia
Salary
Salary:
105100.00 - 189600.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
  • 4-7 years Developing cloud solutions using data series
  • experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud)
  • 4-7 years Hands-on development using and migrating data to cloud platforms
  • 4-7 years Experience in SQL, NoSQL, and/or relational database design and development
  • 4-7 years Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go
  • At least 18 years of age
  • Legally authorized to work in the United States
Job Responsibility
Job Responsibility
  • Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements
  • Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure
  • Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
  • Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
  • Mentor team members to build and enhance their data engineering skillsets and professional growth
  • Assist management in project definition, including estimating, planning, and scoping work to meet objectives
  • Also responsible for other duties/projects as assigned by business management as needed
What we offer
What we offer
  • annual stock grant
  • employee stock purchase plan
  • 401(k)
  • free, year-round money coaches
  • medical insurance
  • dental insurance
  • vision insurance
  • flexible spending account
  • paid time off
  • up to 12 paid holidays
  • Fulltime
Read More
Arrow Right

Senior Data Engineer (with Data Analyst skills)

As a Senior Data Engineer (with Data Analyst skills), your primary task will be ...
Location
Location
Ukraine
Salary
Salary:
Not provided
n-ix.com Logo
N-iX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • You have 4+ years of relevant work experience as a Data Analytics Engineer
  • You are analytical, curious, and detail-oriented
  • You get energy from diverse work and solving complex data questions
  • You have extensive knowledge of SQL or other languages. Preferably experience with GTM, A/B testing, and dashboarding
  • Strong communication skills - you can explain insights and analytical solutions to technical and non-technical stakeholders
  • High motivation, proactiveness, and a genuine enthusiasm for data and product analytics
  • English level - at least Upper-Intermediate, both spoken and written
Job Responsibility
Job Responsibility
  • Migrating dashboards and underpinning analytics models from (Snowflake, dbt, Qlik) to (AWS, python) data platform
  • Measuring the effectiveness of a new feature on the platform
  • Analyzing and advising on the customer journey (of B2B and B2C customers)
  • Analyzing the effectiveness of website personalization
  • Maintaining the tag management system and Snowplow data models in DBT/SQL
What we offer
What we offer
  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
Read More
Arrow Right

Senior Data Engineer Lead / Architect - Senior Vice President

At Citi Services - Global Trade Technology Organization, we are on a mission to ...
Location
Location
India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems
  • 3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers
  • Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills
  • Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development
  • Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)
  • Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
  • Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect
  • Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with 'Data as a Product' Principle
  • Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads
  • Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)
Job Responsibility
Job Responsibility
  • Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud
  • Build & Code: Act as a senior individual contributor and hands-on technical leader. Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)
  • Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment
  • Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards
  • Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap
  • Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform
  • Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams
  • Fulltime
Read More
Arrow Right

Senior Staff Data Engineer- Data Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
adevinta.com Logo
Adevinta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of hands-on experience in Software Development or Data Engineering
  • at least 5+ years specifically focused on building Data Platforms
  • deep understanding of how Platform infra supports Analytics workloads
  • proven experience evolving complex platforms from legacy patterns to modern, cloud-native solutions
  • deep knowledge of Spark internals, JVM tuning, and performance optimization for high-scale batch and streaming datasets
  • deep expertise in Unity Catalog, Delta Lake internals, and optimizing high-volume workloads
  • strict software engineering discipline (CI/CD, Testing, OOP) applied to data pipelines
  • understanding of microservices architecture
  • understanding the needs of Analytics/DWH teams (Data Modeling, dbt)
  • strong background in building automated pipelines using Terraform/Terragrunt and ensuring system observability
Job Responsibility
Job Responsibility
  • Lead the evolution of our Data Platform and architect the "Data Exchange" strategy
  • define robust patterns for API-based ingestion, Event-Driven Architectures (Kafka), and Reverse ETL
  • ensure architectures are optimized for cost and performance on AWS
  • act as a catalyst for technical evolution
  • constantly scan the horizon for next-generation technologies
  • lead the implementation of new paradigms
  • design the strategy for Unity Catalog implementation and Data Contracts
  • champion FinOps, automating cost controls for our highest-volume workloads
  • build the underlying infrastructure that allows Analytics/DWH teams to run efficient transformations
  • elevate the technical bar of the team, mentoring Staff and Senior engineers
What we offer
What we offer
  • An attractive Base Salary
  • Participation in our Short Term Incentive plan (annual bonus)
  • Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
  • A 24/7 Employee Assistance Program for you and your family
  • a collaborative environment with an opportunity to explore your potential and grow
  • a range of locally relevant benefits
  • Fulltime
Read More
Arrow Right