• Design, build and maintain data pipelines, orchestrations and event-based data flows
• Support the migration to a data mesh model with embedded domain ownership
• Develop and maintain platform-level tooling for monitoring, governance and self-service access
• Collaborate with analytics, BI and product teams to ensure data is reliable, reusable and observable
• Partner with engineering teams to embed sound data practices into service design and operations
• Contribute to the technical roadmap for the AutoProff Data Platform together with platform leadership

• Proficiency in Python and SQL for building, testing and maintaining data pipelines and transformations
• Experience working with orchestration and pipeline frameworks such as Airflow (or similar tooling)
• Solid knowledge and practical understanding of AWS services and best practices (e.g. S3, Lambda, Step Functions, Athena, Kinesis, Redshift)
• Strong understanding of data governance, security and privacy requirements (e.g. GDPR, access controls)
• Comfortable working with event-driven architectures and structured data across microservices
• Familiarity with infrastructure-as-code (CDK or Terraform) and CI/CD practices
• Ability to collaborate across teams and clearly explain complex data flows and architectural decisions

• Experience implementing data mesh or decentralised data platform architectures
• Familiarity with BI tools and embedded dashboards (e.g. QuickSight, icCube, Qlik)
• Practical experience working with dbt/sqlmesh or similar analytics framework
• Hands-on experience with data observability, lineage and quality monitoring (e.g. DataHub or Great Expectations)
• Experience with real-time data setups (e.g. Snowplow, TimescaleDB)

About AutoProff

AutoProff was founded in 2013 by the experienced car dealer Jesper Ratza in Denmark. The aim was to digitalize B2B used car trading, helping car dealers increase sales and improve profits.

In August 2022, AutoScout24, the leading specialized pan-European online car marketplace, acquired a majority stake in AutoProff. The partnership has supported the rapid expansion of AutoProff's solutions across Europe and enables the creation of Europe's first fully integrated C2B-B2B-B2C dealing solution for used cars.
At AutoProff, we specialize in providing online B2B used-car dealing solutions designed to improve the buying and selling experience for professional car dealers and their customers.

We are the emerging European leader with more than 150,000 B2B used cars on our online trading platforms annually.
With a focus on effective solutions, digitization and customer service, we are committed to being the home of B2B car dealing for European car dealers.

We’re eager to hear from you. If this sounds like a great match and sparks your interest, don’t wait, apply today!

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

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