- Masters degree in Computer science or related technical studies or equivalent experience
- algorithmic thinking, analytical capabilities.
- cloud platforms: comprehensive understanding of cloud computing (min. 2 years experience with GCP, AWS as a plus), solid experience in distributed computing.
- coding: high proficiency in Python and SQL (Java & Scala is a plus but not essential)
- data processing: good knowledge on Apache Beam; Apache Spark as a plus.
- data management: good grasp of data governance strategies, ETL tooling like dbt, orchestration (Airflow).
- source control: experience working with CI/CD pipelines, gitlab, agile methodology.
- ML engineering: experience with implementing MLOps practices and ML models deployments into production.
- strong knowledge of data structures, data platforms and deployment at scale.
- hands on experience on designing and building data pipelines, including transformation, processing and quality control.
- broad knowledge on applying the latest DataOps concepts, implementation toolings and data management frameworks.
- language skills: English (verbal and written) what's in it for you We put people at the heart of everything we do. Our employment conditions reflect this;
- hybrid work arrangement (twice weekly in our Diemen head office & limited international travel)
- a competitive salary & attractive bonus scheme
- an additional flexible benefit budget
- option to take part in Randstad's success through our employee Share Purchase Plan
- option to go on a sabbatical leave or buy extra holidays
- attractive mobility arrangements
- opportunity to give back to local communities through paid volunteering leave
- a generous budget to set up your home office space and a net internet allowance
- growth and development opportunities in a fast changing global environment
- working with great people and being part of a network where everyone wants you to succeed
- an environment where differences are understood, valued and celebrated 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 Internal Talent Acquisition Partner Jenny Roberts ) 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. We are an inclusive employer and should you require any reasonable adjustments in order to complete any aspect of the recruitment process, please contact the Internal Talent Acquisition (ITA) team.
Senior Data Engineer - Diemen, United States - Randstad Enterprise
Description
people at the heart of everything we doWe help our customers make better hiring decisions and help talent advance in their career paths. We help people find work by creating new insights into the dynamics of the global labor market and integrate those insights into customer- and talent-focused data products. We build and deploy data-driven insights into the complex world of work. As an example - we create clarity where there are gaps in diversity, what a talent's next job might be, how market conditions should influence a hiring strategy, where we predict demand will go, and much more.
Working at Randstad is unlike working at any organization. Because at Randstad we put people at the heart of everything we do. Learn more about our mission, history and values on our website: how you will contribute
As a Senior Data Engineer, you will be leading the delivery of robust cloud-based data solutions. You are responsible for the technical delivery of data oriented projects from start to finish, including requirements, scope, architecture, development, releases and maintenance. Also, your deep knowledge of data engineering will be helping junior team members achieve growth.
The impact of your work depends not only on the quality of your products, but especially on your ability to communicate with other stakeholders in our global data landscape.
what you will be doing
Working in a hybrid capacity, your prime focus will be on our market data platform, that is underpinning a variety of global applications. We work with a wide range of internal and external data sources, covering the global labor markets that we operate in. Your mission is to drive and realize the engineering of this growing data landscape, by designing and building data pipelines and data storage solutions, using multiple database technologies across our GCP and AWS platforms (OpenSearch, BigQuery, Datastore, GCS) collaborating with our data scientists to design and build ML pipelines, that bring our models alive ensuring the full compliance of solutions being implemented with corporate data management principles, particularly pertaining to security and privacy defining and appropriating work to creating and maintaining the product roadmap and backlogs training and coaching junior data engineers collaborating within the data engineering community within the Randstad ecosystem, on sharing best practices, setting and deploying standards, and helping grow our collective data engineering skills
who will you work with
You will be a part of a highly engaged, international and agile team of highly skilled specialists, including data scientists, data engineers, machine learning engineers, and data analysts.
You will work closely with other data engineers within the Randstad ecosystem, both within projects as in the data engineering community.
what you will bring