AdTechTalent
Data Science4 days agoHybrid

Merkle

(Senior) Data Engineer

data engineerbig datacloudpythonazureawsgcpdatabricksetlci/cdmachine learningdata pipelinesdata lakehousestreamingkafkaairflowdata scienceanalytics

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Mid-level

Years experience

3-5

Location

Belgrade, Serbia

Full job description

Merkle, a dentsu company, is seeking a mid to senior level Data Engineer to design and build big data architecture pipelines for data lakehouses in the cloud, optimize and productionize machine learning models, and support data infrastructure needs. The role involves working with cloud services (Azure, AWS, GCP), big data technologies (Databricks, Snowflake, AWS Glue, etc.), relational and NoSQL databases, streaming technologies (Kafka, Event Hubs, Kinesis), and orchestration tools (dbt, Airflow, AWS Lambda). Responsibilities include data ingestion, pipeline development, collaboration with BI and ML teams, infrastructure automation with CI/CD, documentation, and pre-sales support. Candidates should have 3-7 years of experience, strong programming skills in Python and other languages, and experience with cloud data services and big data architectures. The position offers hybrid work flexibility, competitive benefits, and growth opportunities within a global company. Location: Belgrade, Serbia.

What you'll do

  • Design and implement data ingestion and processing pipelines using public cloud services
  • Assist stakeholders with data-related technical issues and infrastructure optimization
  • Collaborate with Business Intelligence consultants to assemble large and complex data sets
  • Support machine learning teams in deployment and optimization of AI/ML models
  • Develop data pipelines for 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 using Confluence
  • Plan activities using Agile methodology in Jira
  • Support pre-sales by proposing technical solutions and effort estimation

Requirements

  • Experience in building and productionizing big data architectures, pipelines and data sets
  • Understanding data concepts and patterns of big data, data lake, lambda architecture, stream processing, DWH, and BI
  • 3-7 years of experience in a Data Engineer role
  • Advanced Python programming skills
  • Experience with object-oriented, functional, or scripting languages like Bash, Scala, Java, R, PowerShell
  • Experience with data services from Azure, AWS, and GCP public clouds
  • Experience with big data technologies such as Databricks, Fabric, AWS Glue, Snowflake, Dataproc, BigQuery
  • Experience with relational databases (MS SQL, Postgres, Aurora DB) and NoSQL databases (DynamoDB, MongoDB, Elasticsearch, Redis)
  • Experience with streaming technologies like Kafka, Event Hubs, Kinesis
  • Experience with orchestration, compute, and ETL services like dbt, Airflow, Cloud Composer, AWS Step Functions, AWS Lambda, Azure Functions
  • Strong analytic skills with structured and unstructured datasets
  • Experience building processes supporting data transformation, metadata, dependency and workload management
  • Experience with CI/CD automation tools like Azure DevOps, GitHub Actions, Jenkins
  • Good communication skills, adaptability, and responsibility

Tech stack

PythonBashScalaJavaRPowerShellAzureAWSGCPDatabricksFabricAWS GlueSnowflakeDataprocBigQueryMS SQLPostgresAurora DBDynamoDBMongoDBElasticsearchRedisKafkaEvent HubsKinesisdbtAirflowCloud ComposerAWS Step FunctionsAWS LambdaAzure FunctionsAzure DevOpsGitHub ActionsJenkinsPower BITableauLookerAdobe AnalyticsGoogle AnalyticsSalesforce Cloud

Benefits

Hybrid work models with adaptable hours and home office optionsCompetitive salariesVolunteer daysWellness daysModern officesMulti-cultural environmentTraining and mentorship opportunitiesGrowth opportunities within dentsu networkInclusive and supportive culture

Apply now

This MVP uses a placeholder application flow. In production, this section can connect to an external apply URL or a native application form.

Continue to applicationBrowse more jobs

Similar jobs

More roles worth a look

Related opportunities based on specialty and working model so candidates can keep momentum.