Summary
Written in English from the original postingSenior Data Engineer role focused on building and maintaining Databricks data pipelines, transformations, integrations, and data-quality processes. The position also includes some MarTech and marketing automation development. It requires 5+ years of data engineering experience with Spark/PySpark, SQL, Python, and Databricks.
Job description
Job Description
Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. With a strong heritage of Nordic quality, local presence, and global-scale operations, we are backed by 8,500+ IT professionals. Our clients trust us for advanced data and analytics skills, top industry-specific expertise, specialized software R&D, and the capabilities of a multinational team. We are part of Tieto, a leading technology company with an annual revenue of approximately EUR 2bn.
Tieto Tech Consulting’s team in Bulgaria consists of 500+ professionals specializing in the development of tailored digital solutions in diverse industries.
We are looking for an experienced Senior Data Engineer to support the renewal of a marketing automation solution. The role is primarily focused on data engineering and integrations (approximately 70%), combined with hands-on MarTech and marketing automation development (approximately 30%). We are looking for a hands-on developer who can independently build data solutions and integrations while also contributing to the technical development of MarTech solutions.
Key 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 that 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
Required experience & qualifications
5+ years’ 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
A significant advantage would be
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, behavioural, and event data for personalized marketing use cases
Experience with data platform modernisation, 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
Additional Information
At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion | Sustainability | Tieto
Stay alert to recruitment scams:
• Tieto only communicates via @tieto.com email addresses.
• We never ask candidates to pay fees or share financial details during recruitment.
• If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site.
• For more information visit Important Advisory Regarding Recruitment Fraud | Tieto Blog
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