Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop a powerful real-time data processing platform, build data pipelines for AdTech solutions, and optimize systems for high availability and low latency.
Job Technologies
Your role in the team
- We are looking for a Senior Software Engineer (m/f/d) to join our AdTech tribe.
- Contribute to the creation of our next-generation platform, that helps our partners - such as restaurants but also local shops - to scale their business.
- Work on our internal AdTech platform that helps our partners to promote their best dishes and attract new clients.
- AdTech tribe is a geographically distributed tribe of 16+ squads.
- We are here to build high-availability advertisement solutions for the local delivery market.
- Our solutions are helping our vendors to attract and retain clients as well as helping users of our platforms to open new tastes and find new favorite dishes.
- Our solutions are running globally from LATAM to APAC and serving our clients via mobile and web applications.
- We deploy often and move quickly with self-sufficient cross-functional squads that work collaboratively according to the "we build it, we run it" principle.
- We optimize our solutions for high load and high reliability, high availability and low latency.
- We leverage microservices architecture principles and patterns, micro-frontends, inner-sourcing, batch and streaming data processing.
- Ads Data Platform is on a mission to build a next generation cutting-edge real-time data processing platform.
- This platform is designed to handle billions of user-generated data points, driving various critical functions from revenue generation and vendor metrics to powering machine learning models.
- Partner with Engineering and Product Management to understand stakeholder needs and translate them into well-scoped technical solutions.
- Participate in cross-team architecture discussions, contribute domain expertise, and help evaluate design trade-offs for platform components.
- Lead by example on engineering quality - code reviews, testing standards, documentation, and incident response.
- Design and implement scalable, reliable components for the Data Platform, including real-time streaming pipelines, batch processing workflows, and data infrastructure integrations.
- Build and maintain critical data infrastructure: storage layers, data governance tooling, pipeline observability, and warehouse integrations.
- Contribute to the technical roadmap by identifying improvement areas, flagging performance bottlenecks, and proposing pragmatic solutions with clear trade-offs.
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Our expectations of you
Qualifications
- Strong proficiency in one or more programming languages like Java/Python/Go for building data-intensive applications and pipelines.
- Familiar with common logging, monitoring, alerting tools such as Grafana, Datadog, NewRelic, Prometheus, etc.
- Vertrautheit mit Konzepten der Datenverwaltung - Katalogisierung, Linienverfolgung, Zugriffskontrolle.
Experience
- 6+ years of experience building and delivering software solutions, including distributed systems based on microservices, API- and event-based communication, and data processing covering both streaming and batch workloads.
- Hands-on experience with stream processing frameworks like Apache Flink or Apache Spark and message brokers like Apache Kafka, including production-grade deployments (state management, exactly-once semantics, backpressure handling).
- Experience with various OLTP & OLAP storage systems such as Clickhouse, PostgreSQL, etc.
- Extensive experience with cloud-based data ecosystems such as AWS (S3, Kinesis, DynamoDB) and GCP (BigQuery, Dataflow).
- Ability to lead and drive technical initiatives across multiple teams, and significant and proven experience building and delivering solutions at scale.
- Experience with cloud cost optimisation, particularly around compute and storage trade-offs in data pipelines.
- Experience with dbt or semantic/metric layer tooling for downstream data modelling.
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What we offer
- Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
- We offer 27 days of holiday, with an additional day in the 2nd and 3rd year of service.
- We will support you in developing yourself and your career growth opportunities: €1,000 educational budget, language courses, parental support, and access to the Udemy Business platform to explore a variety of online courses.
- Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy.
- Cash. Dough. Cheddar. Whatever you call it, we'll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
- The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts.
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Benefits
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Delivery Hero SE
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
Description
- Founding year
- 2011
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.2
Career Growth
3.2Culture
3.2Engineering
2.7Workingconditions
3.8
Senior Software Engineer, Ads Data Platform
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
