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Tieto

Industry-specific software, cloud and AI

Senior Data Engineer - Databricks and Marketing Solutions

Data EngineeringPosted on Nov 13
Full-timePlovdiv, BulgariaNo salary listedHybrid

About the Job

Requirements

  • At least 5 years of experience in data engineering or similar roles.
  • Strong hands-on experience with Spark/PySpark, SQL, Python, and Databricks.
  • Experience building ETL/ELT pipelines and data warehouse or lakehouse architectures.
  • Strong experience with APIs, JSON, webhooks, and system integrations.
  • Solid understanding of customer and event data modelling, transformation, and data quality assurance.
  • Hands-on experience with MarTech or marketing automation solutions.
  • Ability to build data and integration pipelines from data platforms to marketing automation systems.
  • Experience applying data governance, security, quality, lineage, and lifecycle practices.
  • Experience with orchestration, CI/CD, automated deployments, or Infrastructure as Code.
  • Ability to work independently on complex, large-scale projects.
  • Strong communication skills across technical and business audiences.

Responsibilities

  • Design, build, and maintain reliable data and integration pipelines between Databricks and marketing automation platforms.
  • Develop transformations and data models for customer, behavioral, campaign, and event data.
  • Integrate systems using APIs, JSON payloads, webhooks, and platform-specific connectors.
  • Configure and develop data flows through Iterable Smart Sync and Iterable.
  • Establish data-quality controls, validation rules, monitoring, and troubleshooting processes.
  • Ensure customer attributes, events, consent-related fields, and audience data are accurate and available when needed.
  • Investigate pipeline failures, integration issues, schema changes, and data inconsistencies.
  • Optimize SQL queries, transformations, and pipeline performance.
  • Work closely with marketing stakeholders, product owners, data engineers, solution architects, and customer teams.
  • Translate marketing and customer engagement requirements into working technical solutions.
  • Contribute to engineering standards through Git-based development, code reviews, testing, documentation, and CI/CD practices.
  • Support the continuous improvement and modernization of the customer’s marketing automation capabilities.

Desired Qualifications

  • Experience with Iterable and Iterable Smart Sync.
  • Experience with other marketing automation or customer engagement platforms, such as Braze or Bloomreach.
  • Experience working with customer, behavioral, and event data for personalized marketing use cases.
  • Experience with data platform modernization, cloud migration, or AI/analytics use cases.
  • Experience with Microsoft Fabric, Snowflake, Azure Synapse, or AWS Redshift.
  • Experience preparing datasets for machine learning, GenAI, or advanced analytics.
  • Relevant Databricks, Azure, or AWS certifications.

About the Company

Tieto

Industry-specific software, cloud and AI

Tieto provides mission-critical software and consulting services for various industries, organized into vertical software families: Tieto Caretech (care and health tech), Tieto Banktech (banking tech), Tieto Indtech (industrial tech) plus Tieto Tech Consulting. It helps customers run and improve their operations by delivering industry-specific software platforms, cloud services, data analytics and AI-powered solutions, complemented by design and software engineering expertise. Unlike more generic IT firms, Tieto focuses on deep, sector-specific capabilities and combines software products with consulting to support digital transformations. Its goal is to help customers succeed and innovate with the latest technology by making complex systems work together reliably and efficiently, backed by a team of about 13,000 specialists and EUR 2 billion in annual revenue.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Helsinki, Finland
Founded
1968

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