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Mace · 6 days ago

Senior Data Engineer | Corporate Real Estate PMO

New York, United States

Full-time

Hybrid

Mid, Senior Level

$125K/yr - $125K/yr

Mace is a company dedicated to redefining ambition and creating transformative impacts across communities. They are seeking a Senior Data Engineer to extend their data lake and warehouse, manage team members, and ensure best practices in data governance and architecture.

Building MaterialConsultingReal Estate

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Overall technical design of data lake/data warehouse working alongside data architecture team

Ensuring best practice and governance are adhered to

Providing comprehensive use of services and tools to ingest, egress and transform data from multiple sources

Managing and securing the flow of structured and unstructured data from multiple sources

Building and optimizing data flows for use across the organisation

Building robust end-to-end systems with long-term maintenance and support in mind

Maintaining expert knowledge of technology platforms and looking to implement new innovations and features

Collaborating with the data architecture team to scope out changes to data and information architecture

Building strong relationships and engagement with IT Service management software engineering partners to successfully transition deliverables into service

Working collaboratively towards the common goal of net zero carbon transition and share responsibility for the proactive identification and management of the associated carbon emissions and reductions during the delivery of work

Qualification

PythonSQLMicrosoft AzureData EngineeringPower BIITIL practicesML modelsData analyticsTeam managementStakeholder managementTechnical communicationAttention to detailSelf-motivatedCollaboration

Required

Strong data engineering experience using Python and SQL core Microsoft Azure technologies including Data Factory, Databricks, Data Lake, Azure SQL, LogicApps, PowerShell

Strong technical communication skills

Ability to understand and clarify ambiguous requirements from business stakeholders

Initiative to persistently engage stakeholders and find solutions to execute complex technical projects

Ability to quickly synthesize and apply new information in a rapidly changing and highly specialized environment

Strong attention to detail

Experience with Power BI

Experience managing a delivery team that is fully responsible for the quality of the solutions they build and deploy

Self-motivated and able to work independently yet open and collaborative

Manages and influences Key/Senior stakeholders

Track record of delivering well-engineered solutions using best practices such as TDD CI/CD, Peer review

Experience of working in a similar role on a large programme

Full project lifecycle experience across a number of large projects

Knowledge of IT Service management based on ITIL practices

Preferred

Experience building ML models and pipelines

Experience in real estate, architecture, or construction industry

Experience building data analytics and business intelligence solutions

Experience working with common enterprise software platforms including HRMS, ERP, CRM, PLM, Finance

Oracle and experience advantageous

Experience of implementing big data/analytics services

Previous experience in the construction sector is advantageous but not essential

Microsoft cloud and data platform-related certifications

Personal effectiveness e.g. stakeholder management, effective communicator

Direct line management experience

Experience in managing a team of technical IT specialists

Experience with offshore delivery models

Company

Mace

Glassdoor4.2

Mace is an international consulting and construction company.

Founded in 1990

London, England, GBR

5001-10000 employees

http://www.macegroup.com

H1B Sponsorship

Mace has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (2)

2024 (2)

2023 (1)

2022 (2)

2021 (1)

2020 (2)