Analytics Engineering Solution Architect
Diemen, Diemermere [TTG-0099], Netherlands
Randstad
Randstad is the global leader in the HR services industry. By combining our passion for people with the power of today’s intelligent machines, we support people and organizations in realizing their true potential. Learn more about our company.Hay grade: 17
Are you our new colleague? We’re looking for a
Analytics Engineering Solution Architect at Randstad GlobalEurope Hybrid Full time
people at the heart of everything we do
Working at Randstad is unlike working at any organization. Because at Randstad we put people at the heart of everything we do. This goes for our clients, our talent, our employees and society. We combine our passion for people with the power of today’s technologies. This helps us support people and organizations in realizing their true potential.
Learn more about our mission, history and values on our website: www.randstad.com
To achieve its ambitious strategy Randstad is moving to a globally harmonized future state operating model. Standardization of tools and processes will support and drive this (digital) transformation. As part of this transformation, we are migrating from scattered local legacy systems to a set of state-of-the-art core systems which include our app, websites, front-, mid- and back-office. This transformation also offers the opportunity and need to redesign and implement a completely new data architecture to support our future analytical products as well as position Randstad to capitalize on AI.
how you will contribute
This is an exciting opportunity to lead the development of a new global data warehouse and BI tool. As our new Analytics Engineering Solutions Architect, you will play a pivotal role in shaping the future of our data landscape. You'll be the driving force behind building accessible data products for all stakeholders.
This is a unique opportunity to shape the future of data in the heart of a large international stock listed company. You'll be at the forefront of our digital transformation, leveraging cutting-edge technologies to build innovative solutions with a direct impact on our business.
The scope of the Analytics Engineering Solutions Architect includes:
Data flows within the global data platform
Data management
Ensuring our solutions are enabling analytics
what you will be doing
The Analytics Engineering Solutions Architect focuses on leading development of the data warehouse and Looker implementation to provide access to quality, appropriate data in partnership with the Global Data Architect and Data Engineering Solutions Architect.
As Analytics Engineering Solutions Architect your tasks will include:
Leading the development, management and modelling of data within our data warehouse
Defining development standards and processes
Developing an efficient, professional and reliable code base for our data warehouse
Leading the development and implementation of a new Looker Enterprise solution
Ensuring data quality is engrained in our solutions and ensuring ongoing monitoring of the quality (usefulness, correctness, completeness) of data
Leading and mentoring team members
Collaborating closely with the Data Engineering Solutions Architect to ensure usable, performant data
Collaborating with key stakeholders to ensure usability of data products
Developing and implementing security models to ensure compliance with data privacy
Ensuring ongoing optimisations and continual improvement of the data platform and processes
who will you work with
The Analytics Engineering Solutions Architect is a key member of the s-one development team reporting to the Global Lead Data Architect and functionally to the Product Owner of the steering program (s-one). Other key stakeholders for this role are the Global Data Architect, Legal & Data Privacy, the Product Manager, the Product Owner for our data dictionary and Implementation Manager(s).
what you will bring
With data & analytics being vital to the success of all our strategic initiatives, a successful candidate will be a highly motivated professional with knowledge and experience in leading the design and implementation of data products. We would like you to have experience in the following areas:
Developing GCP data solutions (Big Query, Pub/Sub, Cloud Functions, Orchestration, IAM, monitoring)
Data Modelling and optimisations
Terraform
LookML
Python
DBT
Data privacy
your competencies
Within Randstad we defined the following Leadership competencies:
delighting people: connect people (client, talent, employee, society), building strong client relationships and delivering client-centric solutions.
performing today: resourcefulness securing and developing resources effectively and efficiently.
leading change: manages ambiguity operating effectively, even when things are not certain or the way forward is not clear.
securing the future: drives vision and purpose painting a compelling picture of the vision and strategy that motivates others into action.
strategic mindset: seeing ahead to future possibilities and translating them into breakthrough strategies
creating clarity - showing line of sight: making sense of complex, high quantity and sometimes contradictory information to effectively solve problems and provides direction, is delegating and removing obstacles to get work done
courage to challenge: shows courage and confidence to speak up skilfully, challenging others even when they are confronted with resistance or unfamiliar circumstances
what’s in it for you
We put people at the heart of everything we do. Our employment conditions reflect this and are in accordance with the applicable (local) Randstad employment policies and related personnel guide.
We want our teams and talent to reflect the rich diversity of the societies we serve. We thrive for an environment of belonging, safety and confidence. So everyone can bring their whole selves to work and flourish. Learn more about equity, diversity, inclusion and belonging at randstad here.
If you recognize yourself in the profile above, we invite you to apply for this role. For more information you can reach out to our recruitment business partner: jennifer.roberts@randstadsourceright.co.uk.
The recruitment procedure consists of a screening and at least two interviews. Later in the process, an (online) assessment and a job offer conversation take place.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture BigQuery Data management Data quality Data warehouse dbt Engineering GCP Looker LookML Privacy Python Security Terraform
Perks/benefits: Equity / stock options
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