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Data Engineer
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingYou will be part of the Talon.One Data department, working closely with our Data Engineers and reporting into the Head of Data.
Own the data ingestion streams for all of our client’s DBs, from Postgres to BigQuery
Own the data ingestion streams from client Postgres databases to BigQuery
Set up, maintain and improve the data stack and orchestration
Write and improve data warehouse pipelines and code
Apply business logic and transformations to raw data using dbt
From the employer’s posting
You will be part of the Talon.One Data department, working closely with our Data Engineers and reporting into the Head of Data. Your responsibilities will span the full data lifecycle: owning and improving our data platform and ingestion pipelines, applying business logic and transformations to raw data (dbt, BigQuery), and partnering closely with stakeholders across the Infrastructure and Product Engineering teams.
Own the data ingestion streams for all of our client’s DBs, from Postgres to BigQuery
Own the overall data infrastructure: set up, maintain and improve our stack with new technologies for more efficiency and best practices
Write DWH pipelines and improve our overall DWH code to apply best practices and bring more efficiency.
applying business logic and transformations to raw data (dbt, BigQuery)
What you’ll bring
All qualificationsCore experience
- 2-4 years of experience in data engineering or DataOps
- Airflow, Dagster, or similar for data orchestration
- Kubernetes for containerization
- PostgreSQL experience
- dbt for data transformation
Qualification wording
2-4 years of experience in the Data Engineering / Data Ops field
Data Orchestration: Airflow, Dagster, or similar
Containerization: Kubernetes
Relational Databases: PostgreSQL
Data Transformation: dbt
About Talon.One LinkedIn Jobs
Talon.One, an Adyen company, is the most powerful incentives engine that unifies loyalty, personalized promotions and offer management into a single platform.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 14, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Talon.One LinkedIn Jobs is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- JavaScript
- Shell
- BigQuery
- dbt
- Fivetran
- GCP
- Kafka
- Kubernetes
- PostgreSQL
- Terraform
- Airflow
- Dagster
Where the posting names them
- Cypress for automated end-to-end testing - Other odds & ends in JavaScript and shell script WHAT'S IN IT FOR YOU:
ABOUT THE ROLE: You will be part of the Talon.One Data department, working closely with our Data Engineers and reporting into the Head of Data. Your responsibilities will span the full data lifecycle: owning and improving our data platform and ingestion pipelines, applying business logic and transformations to raw data (dbt, BigQuery), and partnering closely with stakeholders across the Infrastructure and Product Engineering teams. ONCE YOU ARE HERE YOU WILL:
ONCE YOU ARE HERE YOU WILL: - Own the data ingestion streams for all of our client’s DBs, from Postgres to BigQuery - Own the overall data infrastructure: set up, maintain and improve our stack with new technologies for more efficiency and best practices. E.g. improve orchestration
- Aiven Kafka Connect, Strimzi, Debezium - dbt cloud, GCP, BigQuery, Fivetran - We use Go for our API, core logic, and internal tooling
- Relational Databases: PostgreSQL - Data Transformation: dbt Nice to have:
- Strimzi - Google Cloud Platform ABOUT TECHNOLOGY:
ABOUT TECHNOLOGY: - Kubernetes running on Google Cloud, ArgoCD, Terraform - PostgreSQL
Nice to have: - Kafka - Strimzi
- PostgreSQL - Aiven Kafka Connect, Strimzi, Debezium - dbt cloud, GCP, BigQuery, Fivetran
- Data Orchestration: Airflow, Dagster, or similar - Containerization: Kubernetes - Relational Databases: PostgreSQL
- Containerization: Kubernetes - Relational Databases: PostgreSQL - Data Transformation: dbt
- Kubernetes running on Google Cloud, ArgoCD, Terraform - PostgreSQL - Aiven Kafka Connect, Strimzi, Debezium
Must have: - Data Orchestration: Airflow, Dagster, or similar - Containerization: Kubernetes
Your next step
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
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- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
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Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
ABOUT TALON.ONE:
Talon.One, an Adyen company, is the most powerful incentives engine that unifies loyalty, personalized promotions and offer management into a single platform.
Built for enterprise scale and security, Talon.One helps businesses design and deliver incentives that drive real customer behavior.
Today, over 300 of the world’s most-loved brands including Sephora, Gymshark and Costa Coffee work with Talon.One to turn their incentives into a reliable growth engine.
ABOUT THE TEAM:
The Data team owns Talon.One's data infrastructure and the insights built on top of it: we design and operate the pipelines that bring data in and model it, and we turn that data into the analysis and reporting that guide decisions across the company. The team brings together data engineers, analytics engineers and data analysts, and continues to grow as Talon.One scales.
ABOUT THE ROLE:
You will be part of the Talon.One Data department, working closely with our Data Engineers and reporting into the Head of Data. Your responsibilities will span the full data lifecycle: owning and improving our data platform and ingestion pipelines, applying business logic and transformations to raw data (dbt, BigQuery), and partnering closely with stakeholders across the Infrastructure and Product Engineering teams.
ONCE YOU ARE HERE YOU WILL:
- Own the data ingestion streams for all of our client’s DBs, from Postgres to BigQuery
- Own the overall data infrastructure: set up, maintain and improve our stack with new technologies for more efficiency and best practices. E.g. improve orchestration
- Write DWH pipelines and improve our overall DWH code to apply best practices and bring more efficiency.
- Be part of a data team composed of various profiles, be at the center of all infrastructure decisions and work closely with other stakeholders from the R&D department, especially the DevOps team.
WHAT WE NEED YOU TO BRING TO THE TABLE:
- 2-4 years of experience in the Data Engineering / Data Ops field, ideally working on some big data warehouse projects
- You are familiar with the modern data stack and are able to recommend, set up and maintain all different kinds of components from data ingestion to automation
- You always thrive for applying data engineering best practices: consistency checks, testing data reliability, monitoring on top of ingestion pipelines, no double business logic in the code
Must have:
- Data Orchestration: Airflow, Dagster, or similar
- Containerization: Kubernetes
- Relational Databases: PostgreSQL
- Data Transformation: dbt
Nice to have:
- Kafka
- Strimzi
- Google Cloud Platform
ABOUT TECHNOLOGY:
- Kubernetes running on Google Cloud, ArgoCD, Terraform
- PostgreSQL
- Aiven Kafka Connect, Strimzi, Debezium
- dbt cloud, GCP, BigQuery, Fivetran
- We use Go for our API, core logic, and internal tooling
- Cypress for automated end-to-end testing
- Other odds & ends in JavaScript and shell script
WHAT'S IN IT FOR YOU:
- A product & engineering team, now part of Adyen, building the incentives engine behind some of the world’s biggest brands
- Adyen+, a significant monthly allowance to spend on whatever matters most to you and your wellbeing
- 28 days of paid annual leave
- €115 monthly commuting allowance when you join us in the office 3 days per week
- 25% employer contribution to your pension
- Annual all-company gathering at Adyen’s headquarters in Amsterdam, plus regional team events throughout the year
- Opportunity to connect in person at Adyen offices across 29 locations worldwide
Source details
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- Location & working pattern
Berlin
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