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Tietoevry

Senior Data Engineer - Databricks and Marketing Solutions - Tieto Tech Consulting (m/f/d)

Tietoevry is hiring a Senior Data Engineer - Databricks and Marketing Solutions - Tieto Tech Consulting (m/f/d). Level rates it ; you can apply on Tietoevry.

Level's read on this job

  • On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions Databricks among its tools and skills.
  • Level classes it as a senior role.
  • Tietoevry has 449 other open roles on Level.
  • Posted in the last few days.

AI in this role

Databricks

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

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

How we rate this

Senior Data Engineer - Databricks and Marketing Solutions - Tieto Tech Consulting (m/f/d) at Tietoevry rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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