Senior Data Engineer (ADB, Python)

Job Description
Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.

At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.

Required Skills (Must Have)

• Hands-on experience with Databricks (notebooks, clusters, jobs, Delta Lake).
• Strong understanding of ETL/ELT processes.
• Experience with Python or SQL.
• Good understanding of cloud platforms (Azure, AWS, or GCP).
• Knowledge of Delta Lake features (ACID transactions, time travel, schema evolution).
• Familiarity with data warehousing concepts.
• Ability to work with large datasets and optimize performance.
• Strong debugging and problem‑solving skills.

Preferred Skills (Good To Have)

• Experience with streaming systems (Auto Loader, Structured Streaming).
• Knowledge of CI/CD workflows (Git, DevOps pipelines).
• Experience with orchestration tools (Azure Data Factory, n8n, etc.).
• Understanding of lakehouse architecture.
• Exposure to ML workflows or MLOps.

Qualifications

• 2–6 years of experience in data engineering or analytics.
• Certifications in Databricks, Azure, AWS, or GCP are a plus.

Soft Skills

• Good communication skills.
• Ability to work with cross‑functional teams.
• Proactive attitude and ownership mindset.

About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys can help your enterprise navigate your next.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer

Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description
As an
Associate Data Analyst
, you will work with large datasets, support analytical projects and help transform complex information into meaningful insights for our clients. You will report to the Analytics Consultant and collaborate with experienced analysts and consultants, contribute to model development activities and help deliver high-quality analytical solutions.

What You Will Do

• Extract, prepare and manipulate data to support business and client requirements.
• Support analytical and model development projects using established methodologies and best practices.
• Interpret analysis results and help identify relevant insights.
• Ensure the quality and accuracy of datasets, analyses and deliverables.
• Investigate and resolve data and analytical issues with support from senior team members.
• Communicate findings to colleagues and clients.
• Collaborate across teams to deliver projects on time and to a high standard.

Qualifications
What you will bring:

• Bachelor's degree in Mathematics, Statistics, Economics, Operational Research, Physical Sciences or another quantitative discipline
• Knowledge of relevant statistical packages and programming tools (for example, SAS, Python, SQL, and Spark)
• Experience working on analytical, statistical or data-related projects
• Strong analytical thinking
• A curious mindset and passion for learning.

Additional Information
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

What You Will Get

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.

Experian Careers - Creating a better tomorrow together

Recruitment Fraud Awareness
- Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description
What you will do:

• Work on modern data platforms, analytics solutions, process automation and new AI-enabled capabilities across multiple business domains
• Develop advanced analytical and data engineering solutions supporting data analysis and ad-hoc insights.
• Develop scalable, cloud-native data platforms and pipelines for structured and unstructured data.
• Develop scalable ETL/ELT pipelines using modern cloud-native services.
• Collaborate with analytics, product, engineering and partners to translate requirements into reliable, high-value data solutions.
• Provide technical guidance and mentorship, ensuring adherence to established engineering standards and quality procedures.
• Develop data solutions using modern cloud technologies (e.g., S3, Redshift, Glue or equivalent services).
• Take ownership of data solutions throughout their lifecycle, from requirements gathering and development to deployment and continuous improvement.
• Explore and implement modern data, automation and AI technologies to improve operational efficiency and data quality

Qualifications
What you will bring:

• Bachelor's degree in computer science, Mathematics, Statistics or a related quantitative field.
• 4+ years of experience in the field of data analytics;
• Experience designing data engineering solutions in AWS environments.
• SQL expertise and programming skills (Python / PySpark preferred).
• Hands-on experience with ETL/ELT, distributed processing and modern data architecture patterns.
• Experience with integration patterns and secure data handling practices.
• Experience working in Agile teams.
• Analytical thinking and ability to collaborate with all kinds of partners.

Additional Information
What you will get:

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness
- Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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 a
Data Engineer/ Data Modeler
to support the design and implementation of a modern Azure-based data platform. The ideal candidate combines strong hands-on data engineering skills with the ability to work closely with business stakeholders, structure unclear requirements, and translate them into scalable data models. The role is especially suitable for someone with experience in Azure Synapse, Azure Data Factory, Python/ PySpark, SQL, SAP source systems, data warehousing, and Power BI reporting enablement.

Key Responsibilities

• Analyze and clarify business requirements from scattered or incomplete documentation
• Work directly with business departments to align requirements, data definitions, and reporting needs
• Translate business requirements into conceptual, logical, and physical data models
• Design and implement data models for: Silver layer: normalized / 3NF model; Gold layer: dimensional / star schema model
• Build and maintain medallion architecture in Azure Synapse, including silver and gold tables
• Develop data transformations and pipelines using Azure Synapse, Azure Data Factory, SQL, Python/ PySpark
• Integrate data mainly from SAP source systems
• Support data cataloging, governance, and lineage through Microsoft Purview
• Use Azure DevOps for repository management, CI/CD, and project tracking
• Enable reporting and analytics through well-structured datasets for Power BI

Required Experience & Qualifications

• Strong experience with Azure cloud data platforms
• Hands-on experience with: Azure Synapse, Azure Data Factory, Python/ PySpark, SQL, Data Lake/ Lakehouse architectures
• Solid understanding of data modeling: 3NF / normalized models, Star schema/ dimensional modeling, Data warehouse design
• Experience working with SAP source systems
• Ability to translate business requirements into technical data models
• Experience with Git-based development and CI/CD, ideally in Azure DevOps
• Good understanding of reporting needs, ideally with Power BI
• Strong communication skills and ability to work with both business and technical stakeholders

A significant advantage would be

• Experience with Microsoft Purview
• Experience in enterprise reporting, forecasting, or analytics platforms
• Background in SAP-heavy enterprise environments
• Experience with agile delivery and tools such as Jira/ Azure DevOps
• Microsoft data engineering certification is a plus

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