Staff Data Engineer en Madrid

Descripción del empleo

About JLL and JLL Technologies

JLL is a leading professional services firm that specializes in real estate and investmentmanagement. Our vision is to reimagine the world of real estate, creating rewarding opportunitiesand amazing spaces where people can achieve their ambitions. In doing so, we will build a bettertomorrow for our clients, our people and our communities.

JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bringtechnology innovation to commercial real estate. We deliver unparalleled digital advisory,implementation, and services solutions to organizations globally. Our goal is to leveragetechnology to increase the value and liquidity of the world's buildings, while enhancing theproductivity and the happiness of those that occupy them.

What this job involves

JLL Technologies Enterprise Data team is a newly established central organization that overseesJLL's data strategy. We are seeking data professionals to work with our colleagues at JLL aroundthe globe in providing solutions, developing new products, building enterprise reporting &analytics capability to reshape the business of Commercial Real Estate using the power of data andwe are just getting started on that journey!

We are looking for a Staff Da ta Engineer who is self-starter to work in a diverse and fast-pacedenvironment that can join our Enterprise Data team. This is an individual contributor role that isresponsible for designing and developing of data solutions that are strategic for the business andbuilt on the latest technologies and patterns. This a global role that requires partnering with thebroader JLLT team at the country, regional and global level by utilizing in-depth knowledge ofdata, infrastructure, technologies and data engineering experience.

As a Staff Data Engineer at JLL Technologies, you will:

  • Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements
  • Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data
  • Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development

  • Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc
  • Unify, enrich, and analyze variety of data to derive insights and opportunities
  • Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
  • Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
  • Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform

  • Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org
  • Mentor other members in the team and organization and contribute to organizations' growth.

What we are looking for:

  • 6 + years' work experience and bachelor's degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.

  • Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.
  • 3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.
  • Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
  • Build, test and enhance data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity
  • Maintain the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensure high availability of the platform; monitor workload demands; work with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application

  • Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams
  • 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools
  • Independent and able to manage, prioritize & lead workload

What you can expect from us:

You'll join an entrepreneurial, inclusive culture. One where we succeed together - across the deskand around the globe. Where like-minded people work naturally together to achieve great things.

Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career,recognition, well-being, benefits and pay.

Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keepthose ambitions in sights and imagine where JLL can take you...

JLL is an Equal Opportunity Employer

JLL is an equal opportunity employer and committed to recruiting, developing and maintaining adiverse workforce in compliance with all applicable Human Rights legislation. The Company willendeavor to make reasonable accommodations up to the point of undue hardship, for disabilities madeknown to it by its employees and applicants.

Apply today!


Required Skills:
Apache Spark, Data Pipelines, Python, Spark Streaming
Optional Skills:

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading globalprovider of real estate and investment management services. We take our responsibility to protectthe personal information provided to us seriously. Generally the personal information we collectfrom you are for the purposes of processing in connection with JLL's recruitment process. Weendeavour to keep your personal information secure with appropriate level of security and keep foras long as we need it for legitimate business or legal reasons. We will then delete it safely andsecurely.

For more information about how JLL processes your personal data, please view our Candidate PrivacyStatement .

For additional details please see our career site pages for each country.

For employees in the United States, please see a fully copy of our Equal Employment Opportunity andAffirmative Action policy here .

Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with andproviding reasonable accommodations to individuals with disabilities. If you need a reasonableaccommodation because of a disability for any part of the employment process - including the onlineapplication and/or overall selection process - you may email us at This email is only to request an accommodation. Please direct any other general recruitinginquiries to our Contact Us page > I want to work for JLL.

This employer is a corporate member of myGwork, the business community for LGBTQ+ professionals, students, inclusive employers & anyone who believes in workplace equality.

Información extra

Estudios requeridos
Horas a la semana
8 - 40
Tipo de contrato
Tiempo completo
Publicado el
Tipo de trabajo
Marketing / Publicidad
Carnet de conducir
Carta de motivación

Madrid | Trabajo de marketing | Tiempo completo | Otros

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