Description

WHY DEPT®?

We are pioneers at heart. What this means, is that we are always leaning forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That’s why we hire curious, self-driven, talented people who never stop innovating.

Our culture is big enough to cope and small enough to care. Meaning, that with people across 20+ countries, we’re big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients' problems, no matter where you are in the world. 

This is an open application for future opportunities, we will get in touch but it might take longer to respond. 

ABOUT THE JOB:

The Know Your Customers unit at our client is dedicated to leveraging data-driven insights and cutting-edge technologies to drive the compliance and Anti-Money Laundering industry forward. We are currently seeking a Data Engineer to join our team. The ideal candidate will have a strong foundation in data engineering concepts such as pipelines, orchestration and streaming; as well as a passion for working with cutting-edge technologies to ensure clean, quality, and usable data is democratized to the business.

THE WORK:

  • Develop and maintain product-specific data pipelines to ensure the timely and accurate flow of data from various sources to our Databricks Lakehouse platform.
  • Able to collaborate with cross-functional stakeholders, including KYC/AML experts, to understand their data needs, design solutions, and deliver efficient data pipelines to support data access and analysis.
  • Independently complete project tasks working with stakeholders to resolve ambiguity while adhering to engineering best practices and scrum ceremonies within the project squad.
  • Gain a deep understanding of data usage patterns and requirements within the organization to design and implement appropriate data models in the data warehouse, ensuring compliance with industry regulations.
  • Utilize Databricks and AWS/GCP services to manage, store, and process data, ensuring optimal performance, security, and scalability while adhering to data protection standards.
  • Leverage orchestration tools, such as Databricks Workflows or Airflow, to orchestrate and monitor data pipelines, ensuring seamless integration, data quality, and compliance with regulatory requirements.
  • Implement data transformation and validation processes using dbt and SQL to ensure data accuracy, consistency, and regulatory compliance across the organization.
  • Continuously monitor, troubleshoot, and optimize data pipelines to ensure data reliability, performance, and adherence to best practices and industry regulations

Stay current with industry trends, emerging technologies, and regulatory changes to ensure the company remains at the forefront of data engineering best practices in the compliance and AML spaces.

KEY RESPONSIBILITIES

  • Upper intermediate to Advanced oral english level
  • 3-5+ years of experience in data, ML, or backend engineering roles
  • Good understanding of data engineering concepts such as orchestration & pipelining, data modeling, streaming and warehousing
  • Familiarity with the core technology stack, including Databricks Lakehouse (Delta Lake) or equivalent such as BigQuery/Snowflake, SQL/Python/Spark, AWS, Prefect/Airflow, dbt
  • Basic technical problem-solving skills and the ability to work independently or as part of a team.
  • Able to plan and prioritize your own work day-to-day and sprint-to-sprint.
  • Good communication skills, with the ability to effectively collaborate with stakeholders at various levels within the organization and communicate complex data concepts to non-technical audiences.
  • Eagerness to learn new technologies and adapt to industry trends and changes
  • Bachelor’s degree in Computer Science, Engineering, or a related field (desired)

WE SUPPORT YOU BEING YOU: 

DEPT® is an equal opportunity employer (EOE). We believe our work is its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s identity, background, beliefs, lifestyle or disabilities. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step. 

DEPT® participates in E-Verify, meaning your Form I-9 information will be sent to the federal government to confirm you are authorized to work in the U.S. 

We are a B Corp-certified company passionate about purpose-driven work.  Our hope is that you can feel good about the contributions DEPT® is making to the world and we always have an open door for your ideas in making the world a better place. 

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture. 

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. 

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

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