1 month ago
Prague, CzechiaMid Level / Senior
Responsibilities
- Design and implement ingestion and processing pipelines for varied data sources using public cloud services.
- Build and optimize big data architectures, data lakehouse solutions, datasets, and data delivery infrastructure.
- Assemble complex data sets that satisfy functional and non-functional requirements.
- Support deployment and optimization of machine learning models and other data algorithms.
- Develop pipelines supporting marketing automation, customer acquisition, and other business areas.
- Use infrastructure-as-code and CI/CD tools to automate release pipelines.
- Document data pipelines and logic in Confluence and plan activities in Jira.
- Support stakeholders with data-related technical issues and infrastructure needs.
- Support pre-sales by proposing technical solutions and estimating project effort.
Requirements
- Require 3–7 years of experience in a Data Engineer role.
- Require advanced Python programming and experience with big data architectures, pipelines, and datasets.
- Require knowledge of big data concepts, data lakes, lambda architecture, stream processing, data warehouses, and business intelligence.
- Require experience with cloud data services, big data technologies, relational and NoSQL databases, streaming services, orchestration, compute, ETL, and CI/CD automation tools.
- Require strong analytical skills working with structured and unstructured datasets and experience managing data transformations, metadata, dependencies, and workloads.
- Prefer experience delivering business intelligence projects using Power BI, Tableau, or Looker.
- Prefer knowledge of Adobe Analytics, Google Analytics, and Salesforce Cloud services.
- Value precision, organization, communication, adaptability, ownership, and teamwork.
Benefits
- Hybrid work models, adaptable hours, and home-office options.
- Competitive salary, volunteer days, wellness days, modern offices, and a multicultural work environment.
- Training, mentorship, growth opportunities, and access to projects across the dentsu network.
- International collaboration and exposure to projects across Merkle's global organization.
- Full-time, permanent position in Belgrade at Bulevar kralja Aleksandra 28.
Tech Stack
Amazon DynamoDBApache AirflowApache KafkaAWSAzureBashDatabricksdbtElasticsearchGitHub ActionsGoogle BigQueryGoogle Cloud PlatformJavaJenkinsMicrosoft SQL ServerMongoDBPostgreSQLPowerShellPythonRRedisScalaSnowflake
Categories
Data Engineering
About Dentsu
Dentsu is a global advertising and marketing services group that plans and buys media, develops creative campaigns, and builds data- and technology-led customer experiences for brands. It earns revenue from agency fees and media services across a network that includes Carat, iProspect, and Merkle. Founded in 1901 and headquartered in Tokyo, Dentsu is publicly traded in Japan and serves clients across many sectors worldwide.