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Manager – Data Engineering & Analytics
Cushman & Wakefield
Lead design and implementation of modern, cloud-native data engineering and analytics platforms using Azure technologies.
21d ago
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Hyderabad, Telangana, India
Office Full-Time
Company Size
52,000 Employees
Service Specialisms
Advisory & Transaction Services
Capital Markets
Corporate Solutions
Facilities Management
Global Occupier Services
Investment Management
Project & Development Services
Valuation & Advisory
Sector Specialisms
Industrial
Logistics
Public Sector
Rail
Healthcare
Hospitality
Office
Investor
Role
What you would be doing
platform design
azure synapse
documentation
team mentorship
tech integration
system architecture
- Lead the design and execution of modern, cloud-native data engineering, AI/ML and analytics platforms across the full data lifecycle, including ingestion, storage, transformation, and consumption.
- Develop scalable, high-performance data solutions using Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, Power BI, Tableau, Python, and other relevant technologies.
- Ensure comprehensive technical documentation and foster collaboration across cross-functional data and analytics teams.
- Manage and mentor a team of data engineers, fostering a culture of engineering excellence, knowledge sharing, and continuous improvement.
- Evaluate and implement emerging technologies in cloud data platforms, streaming analytics, and intelligent automation.
- Oversee architectural reviews, performance tuning, and system reliability initiatives to support scalable enterprise data platforms.
- Establish and maintain reusable development patterns and coding standards in Python, PySpark, and SQL.
- Define and enforce standards for data quality, lineage, and metadata in coordination with data governance and MDM teams using tools such as Profisee and Azure Purview.
- Guide the integration of AI/ML solutions through architectural planning, data readiness, and scalable deployment pipelines.
- Champion DevOps and DataOps best practices, including CI/CD pipeline development, Git-based workflows, and automated testing.
- Collaborate with engineering, product, and business leadership to ensure alignment of data solutions with enterprise goals, technology roadmaps, and innovation priorities.
What you bring
degree
cloud platforms
git-based
mlops
python/scala
leadership exp.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Proven experience designing and deploying enterprise-grade cloud data platforms using Azure, AWS, or Google Cloud.
- Experience with Database Lifecycle Management (DLM) tools and collaborative Git-based development practices.
- Industry experience in commercial real estate, capital projects, or other data-rich operational environments.
- Relevant certifications such as Azure Solutions Architect, AWS Data Analytics, TOGAF, or similar enterprise architecture credentials.
- 8+ years of progressive experience in data engineering and analytics, including 5+ years in technical leadership, team management and/or architecture-focused roles.
- Working knowledge of DevOps practices and Infrastructure-as-Code principles including CI/CD pipelines, Docker/Kubernetes, and automation frameworks.
- Strong knowledge of modern data architecture patterns such as data lakehouse, data fabric, microservices, and event-driven pipelines.
- Experience integrating data governance and MDM solutions, particularly with Profisee, Azure Purview, or similar platforms.
- Deep hands-on expertise with Azure Synapse Analytics, Azure Data Factory, Databricks, Spark/PySpark, and SQL-based data processing.
- Understanding of the ML/AI model lifecycle including data preparation, model training, and production deployment.
- Familiarity with emerging data architecture models such as data mesh and unified data platforms.
- Proficiency in modern programming languages such as Python or Scala, used in scalable data engineering.
- Career development and a promote from within culture;
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Interview process
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Visa SponsorshipInformation not given or found
Security clearance- criminal and employment verification
People also searched
Company
Overview
Founded in 1917
Year of establishment
The company was established in 1917, marking over a century of operation in the commercial real-estate services sector.
$9.5B in Revenue
Annual revenue generated in 2023
In 2023, the company generated over $9.5 billion in revenue, reflecting its significant presence in the global market.
$191B in Deals
Total transaction volume in 2023
The company facilitated over $191 billion in deals in 2023, showcasing its substantial influence in the real-estate market.
4.3B sq ft Managed
Global commercial space managed
The company manages over 4.3 billion square feet of commercial space worldwide, highlighting its extensive portfolio.
- With operations across ~400 offices in 60+ countries, it bridges global scale with deep local market insight.
- Typical projects range from agency leasing and capital-markets advisory to project development and integrated facilities management.
- The firm specializes across sectors including data centers, industrial/logistics, life sciences, retail, government, and healthcare.
- A standout fact: it advises marquee assets like ports, rail hubs, and sports venues.
- Driven – We celebrate determination. Our intrinsic motivation, proactiveness, and service attitude outperform expectations for our colleagues, clients, and communities.
- Resilient – We tackle challenges with grit. We navigate uncertainty with courage and adapt to deliver impactful outcomes.
- Inclusive – We value curiosity and collaboration. We seek out different perspectives, listen actively and turn feedback into solutions.
- Visionary – We foster forward thinking. Our continuous quest for improvement is guided by our desire to design a better future for our colleagues, clients and communities.
- Entrepreneurial – We act like owners. We are resourceful, creative, and agile, and we balance competing needs to create impactful solutions for the real estate industry.
43% Drop
Emissions Reduction
Achieved a significant reduction in total Scope 1 & 2 emissions since 2019.
68% Reduction
Office Emissions Efficiency
Improved energy efficiency in offices, reducing emissions per thousand sq ft since 2019.
50% Target
GHG Emission Reduction
Committed to reducing absolute Scope 1 and 2 market-based GHG emissions by 2030.
100% Renewable
Corporate Electricity
Aiming to source all electricity for corporate offices from renewable sources by 2030.
- Science-based targets approved by SBTi to reach net zero emissions across the entire value chain by 2050.
- Partnering with clients to set science-based targets by 2025.
- 52% reduction in entire value chain emissions since 2019.
- Electrify vehicle fleet globally by 2035.
- Waste reduction and recycling programs implemented globally by end-2024.
- Single-use plastics eliminated from offices by end-2025.
1,400 Veterans Hired
Military & Veteran Program
The program has successfully integrated over 1,400 veterans into the workforce as part of its commitment to supporting military talent.
1,400+ Veterans
Veteran Employment Initiative
Over 1,400 veterans have been hired through the company's dedicated Military & Veteran Program, reflecting its strong commitment to military talent.
- Nine Employee Resource Groups active (e.g., Women’s Integrated Network, LGBTQ+ Integrated Network, Veterans, Parents & Caregivers Together).
- Employee Resource Groups contribute to measurable inclusion via professional development, community engagement, recruitment and cultural observances.
- Aiming to elevate women's representation—no specific percentage disclosed.
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