We wake up to more than a job. We’re chasing a huge opportunity to change a 15B industry. It’s new territory full of new challenges, ideas, and wins — and we’re excited for the journey.
Instapro is part of Angi.
Based in any location: France, Germany, the Netherlands, or the United Kingdom
Angi is looking for an Engineering Manager with strong leadership, technical depth, and delivery experience to help shape the future of our global data platform. You’ll lead the Data Products & Enablement (DPE) team within the Data Platform Products focus area under the Technical Foundations Zone - the group responsible for building, scaling, and maintaining the foundational data products, shared models, and enablement layers that power analytics, experimentation, and marketing technology across Angi.
As an Engineering Manager, you will lead a multidisciplinary team of data and software engineers who build the data pipelines, shared models, and integration platforms that enable data-driven decisions and product experiences across the company. You’ll balance people leadership with technical depth - driving delivery, coaching high-performing engineers, and ensuring the reliability and scalability of Angi’s core data assets.
Lead and mentor a high-performing team of data and software engineers, driving impact through coaching, feedback, and performance management.
Deliver scalable, high-quality data products, shared models, and enablement platforms that serve analytics, marketing, and product teams across Angi.
Design, evolve, and standardize data pipelines and transformations using modern tools such as dbt, Airflow, and Snowflake.
Drive major data migrations and modernization initiatives from legacy systems to unified, cloud-based data platforms.
Collaborate closely with Product, Analytics, and Marketing Technology teams to build and maintain reliable data flows for key business domains (e.g., event tracking, user funnels, marketing conversions, CRM integrations).
Oversee event tracking and analytics integrations using technologies such as Confluent/Kafka, Snowplow, Segment, or Adobe Analytics.
Enable downstream systems and teams by designing robust data contracts, APIs, and reverse ETL solutions.
Contribute to platform reliability and efficiency, leveraging containerization (Docker) and infrastructure-as-code tools (Terraform, etc.) to streamline deployments and data operations.
Foster a strong engineering culture, balancing technical rigor, experimentation, and delivery focus while supporting your engineers’ professional growth.
Leverages AI tools (e.g. Copilot, Cursor, Claude Code) to improve coding speed and debug faster
8+ years of professional experience in data engineering or software engineering, with exposure across data, analytics, and platform domains.
2+ years of experience managing engineering teams, including performance management, promotions, and building high-performing teams.
Experienced in managing both data engineers and software engineers, providing guidance while maintaining a balance between technical depth and leadership.
Proven experience designing and operating large-scale, cloud-based data platforms and systems - not limited to small datasets or companies.
Hands-on experience with SQL and Python, and the ability to engage technically in design reviews and solution discussions.
Strong experience with the modern data stack, including dbt (advanced proficiency), Airflow (or similar orchestration tools), Spark, Snowflake, Redshift, Trino, Fivetran and ETL/ELT frameworks.
Familiar with event tracking and analytics platforms such as Confluent/Kafka, Snowplow, Segment, or Adobe Analytics.
Working knowledge of containerization (Docker or similar) and infrastructure automation (Terraform or similar).
Exposure to marketing and conversion APIs (Google Ads, Microsoft Ads, or equivalent) and CRM tools (Salesforce, Iterable, or similar).
Excellent communication skills, capable of partnering with Product, Marketing, and Analytics stakeholders to deliver data solutions that drive business value.
Experience implementing or contributing to data mesh architectures.
Programming experience in Java, Kotlin, or PHP.
Familiarity with Kubernetes, infrastructure engineering, and Terraform.
Experience with Reverse ETL tools (e.g., Census, Hightouch).
Experience with BI tools (Looker, Tableau, or similar).
Experience managing hybrid teams (data + software engineers).
You’ll play a key role in advancing Angi’s unified data platform strategy - enabling consistent, trusted, and actionable data across analytics, marketing, and product ecosystems. The Data Products & Enablement team, part of the Data Platform Products focus area under the Technical Foundations Zone, builds the shared data foundation that empowers every data-driven decision and product experience at Angi.
These are the benefits you'll enjoy:
Highly competitive salary package
Hybrid work environment
Hybrid allowance/benefit
Temporary work from abroad policy
Regular team and social events
Referral bonus
Further benefits depending on location
These are the values that guide everything we do:
We put integrity first. We are authentic, transparent and respectful.
We are all stewards. We are stewards of the company on behalf of all stakeholders.
We follow the evidence. We are objective, evidence-based and pragmatic in our decision-making.
We never stop learning. We are open-minded and curious.
We win together. We collaborate and earn trust with our colleagues.
We are inclusive. We are committed to building a diverse and inclusive company.
Read our values in full here
Interested in applying? Submit your application below and we will get back to you.
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You need to be based in one of our office locations or be willing to relocate to one of them.
We have a hybrid-work model, which means that it’s up to you whether you prefer to work onsite or feel more comfortable working from home. However, in some roles, we might be looking for people to come to the office more regularly. You can have a look at what locations we are active in via the button below.
Please go through the job description once again and be ready to ask your questions to help yourself better understand if our environment matches your expectations.
You can visit Instapro Group's other web spaces, such as our LinkedIn page, to get a feel for our vibe.
Our interviewing processes can differ slightly depending on the department. The three steps that are consistent for every vacancy are a talk with the hiring manager at the beginning, a team interview in the middle, and an elevator interview at a later phase of the process. The best way to prepare for an elevator interview is to go over our values.
