Skip to content
Data Engineer

Data Engineer

Senior Data Engineer

S&P Global

Sofia

Откликнуться на сайте работодателя

Описание вакансии

About The Role:
Grade Level (for internal use):
10

We’re now expanding our data capabilities to meet the growing demands of a fast-paced, data-driven organisation. This role is a great opportunity for someone who’s eager to make an impact, get hands-on with modern tools, and help shape how we use data across our products and teams.

What You’ll Do

  • Design, develop, and maintain scalable data architectures and ETL pipelines
  • Build and manage data models and data warehouse solutions (we use Airflow, dbt, and Redshift)
  • Write clean, efficient Python and SQL code for data processing and transformation
  • Integrate data from internal and third-party APIs and services
  • Optimise data pipelines for performance, scalability, and reliability
  • Collaborate with data scientists, analysts, and engineering teams to support business needs
  • Implement and uphold data security and compliance standards
  • Use version control systems (e.g. Git) to manage and maintain project codebases
  • Contribute to the continuous improvement of data processes and tooling across the organisation

Requirements
Proven experience in data engineering and building scalable data solutions

Strong experience with ETL processes, data modelling, and data warehousing

Proficiency in Python and SQL

Expertise in relational (SQL) and NoSQL database technologies

Hands-on experience with AWS

Solid understanding of data security, privacy, and compliance principles

Ability to optimise data pipelines for performance and maintainability

Strong collaboration skills and a proactive, problem-solving mindset

Bonus Points For

  • Experience with Airflow and/or dbt
  • Experience working in Agile environments (Scrum/Kanban)
  • Exposure to DevOps practices or CI/CD pipelines

Benefits
Annual Leave

  • 22 days per calendar year (and all local bank holidays)
  • An additional day off for your birthday

Wellness and Care Leave

  • Up to 5 days for self-care or wellness

Volunteer Day

  • 1 day off to support a charity of your choice

Share With Scheme

  • Eligible employees receive a share in a qualifying event

Therapy Sessions

  • 50% contribution towards therapy sessions, up to BGN 90 per session

Lunch & Learns

  • Events held throughout the year with educational or informative topics

Charity Matching Days

  • Company matches charity sponsorships up to 3500 BGN

Hybrid Working

  • 3 days in the office, 2 days working from home

Multisport

  • 50% contribution from the employer, 50% from employee

State Benefits

  • Pension & health provision
  • Family-friendly policy

Office Facilities

  • Contemporary office space
  • Free Onsite gym
  • Address: 51, "Cherni vrah" Blvd, 1407 Sofia, WorkBetter Coworking space

Employee Assistance Programme (EAP)

  • 24-hour confidential health assistance via TelusHealth, including:
  • Counselling support
  • Financial wellbeing
  • Bereavement support
  • Legal information
  • Medical information

Refer a Friend

  • BGN 1,200 reward for successful referral

Hardship Fund

  • Financial assistance repayable with low interest over 3, 6, or 12 months

Learn With Us

  • Access to a learning platform with over 80,000 free courses
  • Seniority Level

Mid-Senior level

  • Industry
  • Financial Services
  • Employment Type

Full-time

  • Job Functions
  • Information Technology

About S&P Global Market Intelligence
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.

For more information, visit www.spglobal.com/marketintelligence.

What’s In It For
You?
Our Mission:
Advancing Essential Intelligence.

Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our Benefits Include:

  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit\-summaries

Global Hiring And Opportunity At S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

US Candidates Only:
Know Your Rights: Workplace discrimination is illegal

IFTECH103.1 - Middle Management Tier I (EEO Job Group)

Job ID:
328573

Posted On:
2026-05-05

Location:
Sofia, Bulgaria

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Technology Lead - Databricks Data Engineering

Infosys

Sofiafulltime

Откликнуться на сайте работодателя

Описание вакансии

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

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Associate Data Analyst

Experian

Sofiafulltime

Откликнуться на сайте работодателя

Описание вакансии

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

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Senior Data Engineer

Experian

Sofiafulltime

Откликнуться на сайте работодателя

Описание вакансии

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

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Data Modeler - Tieto Tech Consulting (m/f/d)

Tieto

Sofiafulltime

Откликнуться на сайте работодателя

Описание вакансии

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

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Ещё 28 вакансий по этой категории в этой стране

Senior Data EngineerS&P Global · Bulgaria

Откликнуться на сайте работодателя