Senior Data Engineer

About the role

Merkle, a dentsu company, is looking for a Senior Data Engineer to join its team in Belgrade. The role covers designing and building big data architecture pipelines for data lakehouses in the cloud, and optimizing and productionizing machine learning and predictive models. It suits experienced software engineers and data wranglers who enjoy building complex platforms from the ground up, and is open to both mid-level and senior profiles.

Key responsibilities

• Design and implement data ingestion and processing of various data sources using public cloud services.
• Work with stakeholders on data-related technical issues, optimize existing data delivery and redesign infrastructure for greater scalability.
• Collaborate with BI consultants to assemble large, complex data sets for data lakehouses, and support ML teams in deploying and optimizing AI and ML models.
• Develop data pipelines that give actionable insights into marketing automation, customer acquisition and other key business areas.
• Use infrastructure-as-code and CI/CD tools to automate release pipelines, document pipelines in Confluence and plan work in Jira with Agile methodology.
• Support pre-sales by proposing technical solutions and estimating effort accurately.

Required profile

• 3-7 years of experience as a Data Engineer, with experience building and productionizing big data architectures, pipelines and data sets.
• Understanding of data lake, lambda architecture, stream processing, DWH and BI concepts.
• Experience with Azure, AWS and GCP data services, and with Databricks, Fabric, AWS Glue, Snowflake, Dataproc and BigQuery.
• Experience with relational databases (MS SQL, Postgres, Aurora DB) and NoSQL databases (DynamoDB, MongoDB, Elasticsearch, Redis).
• Experience with streaming services (Kafka, Event Hubs, Kinesis) and orchestration, compute and ETL tools (dbt, Airflow, Cloud Composer, AWS Step Functions, AWS Lambda, Azure Functions).
• Experience setting up CI/CD tools such as Azure DevOps, GitHub Actions and Jenkins.
• Nice to have: BI project delivery with Power BI, Tableau or Looker; knowledge of Adobe Analytics and Google Analytics; Salesforce experience.

What we offer

• Hybrid work model, adaptable hours and home office options.
• Competitive salary, volunteer days, wellness days and modern offices.
• Training, mentorship and growth opportunities within the dentsu network.