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Data Engineer

Management Consultant - Data Engineering

Baringa

Sofiasenior

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Описание вакансии

About Baringa
Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.

The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation.

Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.

Certified as a
Great Place to Work
around the world, Baringa has been recognised by the
Financial Times
in 22 categories of its UK Leading Management Consultants rankings, and by
Forbes
for four consecutive years as one of the World’s Best Management Consulting Firms.

Our Data, AI, Solutions & Engineering practice are looking for Consultants to join the team.

Our Data, AI, Solutions & Engineering team really likes helping our clients solve their complex problems with data, by implementing controls and governance of data, creating actionable insights, embedding machine learning solutions or building data platforms. We bring the right team and skills on the table and can offer deep expertise across Data Strategy, Data Science & Engineering, Data Visualisation, Data Management, Data Architecture and Software Development.

What you will be doing

You will be using your experience to help our clients solve their most important data challenges. You would be also responsible to support the growth of our team, helping them to build the skills they need to solve our client’s challenges.

Typical Engagements Include

  • Defining and implementing on premise or cloud architectures, for example, a cloud data warehouse, data lake or a data platform to enable digital transformation
  • Working with clients in more traditional areas of data engineering such as, data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models
  • Performing maturity assessments across clients’ data capabilities and recommending improvements
  • Building technology blueprints and advising clients on the different technology options
  • Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help customers to define new policies, principles and standards
  • Helping clients to identify risks and mitigations for their complex data programmes, as well as transition to modern cloud-based infrastructures (AWS, Azure, GCP) by leveraging related architecture patterns (e.g., APIs, events)
  • Working with clients in key areas of data governance, such as in defining principles including, but not limited to Master Data Management, Data Lineage and Data Security

Your Skills And Experience
We are seeking passionate and dynamic data engineers who are excited by empowering decision making with data, and keen to take an active part in the growth of the company. We’re looking for people who can both advise our clients and, when needed, get hands on in technical delivery to bring a solution to life.

Skills
Below we list some of the skills we are looking for. Of course, do not expect you to be an expert in all areas and we understand that experiences vary based on the background and years of experience:

  • Passionate individual who is excited by problems with data and can bring a good mix of technical delivery and core consulting skills in client engagements
  • Ability to design and maintain robust data pipelines and architectures on modern delivery frameworks to meet functional business requirements
  • Experience in using cloud technologies such as AWS or GCP or Azure, as well as big data platforms (e.g., Spark, Hive, Databricks)
  • Working knowledge of relational databases and NoSQL database technologies.
  • Ability to understand and design CI/CD pipelines
  • Competent in SQL and or at least one modern programming language, such a Python
  • Experience with BI visualisation tools would be beneficial, but not required
  • Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets
  • Hold a bachelor’s degree across any discipline. A master’s degree in a technical discipline (computer science, engineering or another STEM discipline) would be helpful but is not essential for success
  • Candidates should be comfortable with international travel, which may be required for up to 30% of the time. Candidates must be able to travel and work within the EU/UK.

What a career at Baringa will give you

Putting People First.

Benefits
Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include:

  • Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service.
  • Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave.
  • Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us.
  • Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice.
  • Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success.

Diversity and Inclusion

We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people.

An award-winning workplace

You can be a part of our ‘Great Place to Work’ – with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we’ve achieved this.

Using business as a force for good.

We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve.

We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have.

Join us

All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.

Baringa Privacy Notices

For UK & EU
Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at privacy@baringa.com

For the USA
Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact privacy@baringa.com

For Australia & Singapore
Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at privacy@baringa.com

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Data Engineer

Data Entry Analyst

Louis Dreyfus Company

Sofia

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Описание вакансии

Company Description
Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

Job Description
About the Role
We are looking for a detail-oriented and customer-focused professional to join our Service Data team. The role combines logistics administration, data management, warehouse support, and customer service activities. You will play a key role in ensuring the accurate processing of inbound and outbound logistics transactions while acting as a bridge between customers, warehouses, transport providers, and internal stakeholders.

Key Responsibilities:

  • Process and maintain logistics and warehouse-related data within company systems
  • Create, update, and validate inbound and outbound orders
  • Review transport and shipping documentation to ensure accuracy and completeness
  • Monitor shipment status and update customers and stakeholders as required
  • Coordinate with warehouses, transport providers, customs agents, and internal teams to ensure smooth execution of operations
  • Manage shared mailboxes and respond to customer inquiries in a professional and timely manner
  • Maintain operational trackers, reports, and supporting documentation
  • Follow established procedures and service level agreements to ensure data quality and operational excellence
  • Identify discrepancies, investigate issues, and proactively drive resolution
  • Participate in process improvement and automation initiatives aimed at increasing efficiency and service quality

Experience
Education:

  • University Degree, preferably in a discipline involving numbers and/or logical thinking

The number of years of experience required:

  • Experience of min 1 years of experience in work in logistics, back-office operations and or accounting functions
  • Experience in a Shared services center environment is an advantage
  • We will consider a lower experience in lieu of skillsets and attitude. Do not hesitate to apply!

Technical skills/knowledge:

  • Experience with ERP/CRM/ FO or BO systems will be useful
  • Strong analytical skills
  • Strong interpersonal skills
  • PC literate (MS-office tools, etc.)
  • Good Excel skills is necessary
  • Knowledge of any programming, app development experience would be a huge benefit

Language ability:

  • English - verbal and written

Soft skill:

  • Communication skills
  • Teamwork
  • Problem-solving
  • Commitment
  • Flexibility
  • Initiative / creativity
  • Experience in working with tight deadlines
  • Experience in working in a service-driven environment

Additional Information

Diversity & Inclusion
LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion.

LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.

Sustainability
Sustainable value is at the heart of our purpose as a company.

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us

What We Offer
We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world.

Our Benefits

  • 25 annual paid leave
  • Flexible working hours
  • Food vouchers
  • Transportation allowance
  • Additional medical & dental insurance
  • Life insurance
  • Sports card with 90/10 coverage
  • Various learning & development opportunities
  • Yearly performance evaluation plans
  • Social clubs & Wellbeing initiatives
  • Team buildings & social events
  • Employee Referral Program

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Data Engineer

Data Architect - Data & AI Platforms (Databricks Focus) - Tieto Tech Consulting (m/f/d)

Tieto

Sofia

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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.

Key Responsibilities

  • Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies
  • Define how data is ingested, processed, governed, and consumed across batch, streaming, and AI workloads
  • Own architecture decisions around Delta Lake, data modelling, data pipelines, and platform scalability
  • Act as a trusted advisor to customers, helping them modernize legacy data landscapes into cloud-native, Databricks-driven platforms
  • Drive architecture for end-to-end data solutions, from ingestion (batch/streaming) to analytics, ML, and AI use cases
  • Guide teams in building robust Spark-based pipelines and efficient data processing frameworks
  • Establish best practices for Data engineering using Spark / PySpark; Data governance with Unity Catalog; Data lifecycle and quality across the platform
  • Lead solution workshops, technical deep-dives, and architecture sessions with clients and internal teams
  • Support pre-sales and solution shaping, especially around Databricks-based architecture and delivery models
  • Continuously improve platform design by introducing automation, DevOps practices, and reusable architecture patterns
  • Stay up to date with Databricks innovations (DLT, Asset Bundles, Genie, ML/AI features) and bring them into real use cases

Required Experience & Qualifications

  • 8-10+ years of experience in Data Engineering, Data Architecture, or similar roles
  • Strong hands-on expertise in Databricks platform (core requirement), Apache Spark/ PySpark; Data pipelines and distributed data processing
  • Proven experience designing and implementing lakehouse architectures (Delta Lake)
  • Strong experience with Data modelling in large-scale analytical platforms; Batch and streaming data processing
  • Solid experience with cloud ecosystems (Azure preferred, AWS also relevant)
  • Understanding of data governance and security in modern platforms (e.g. Unity Catalog)
  • Experience working directly with customers in a consulting or advisory capacity
  • Ability to translate business requirements into scalable, cost-efficient data solutions
  • Strong communication skills and ability to simplify complex architecture topics

A significant advantage would be

  • Experience with advanced Databricks components: Delta Live Tables (DLT); Databricks Workflows / Asset Bundles; Unity Catalog at scale
  • Experience with real-time streaming architectures (Kafka, Structured Streaming)
  • Familiarity with complementary platforms: Microsoft Fabric; Snowflake; Synapse / Redshift
  • Experience building AI-enabled data platforms, including: LLM-based solutions; RAG architectures; Data pipelines supporting ML/AI models
  • Experience with MLOps / DataOps practices and CI/CD pipelines
  • Knowledge of infrastructure as code (Terraform, etc.)
  • Industry experience in banking, manufacturing, retail, or healthcare
  • Relevant certifications (Databricks, Azure, AWS)

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

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Data Engineer

Data Engineer (Microsoft Fabric)

CreateFuture

Sofia

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Описание вакансии

Working at CreateFuture
CreateFuture is an
AI-native consulting partner
where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first.

We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years.

CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row.

Join us on our journey. Let’s create tomorrow, together, today.
About The Role And Team
We are looking for a Data Engineer to join our data team, building and supporting production-ready data pipelines. You'll work with Microsoft Fabric, Python, and PySpark to design, deliver, and maintain robust data infrastructure, collaborating closely with fellow engineers and stakeholders across the business.

What You’ll Be Doing

  • Design, build, and maintain scalable data pipelines using Microsoft Fabric, Python, and PySpark
  • Deliver production-ready data solutions, ensuring reliability, performance, and maintainability
  • Support and manage CI/CD pipelines for data engineering workflows
  • Collaborate closely with team members, sharing knowledge and contributing to a strong engineering culture
  • Troubleshoot and resolve issues in live data pipelines
  • Partner with cross-functional teams to understand data requirements and translate them into technical solutions

We’d Love To Talk To You If You

  • Hands-on experience with Microsoft Fabric
  • Strong proficiency in Python
  • Experience with PySpark
  • Proven experience working effectively as part of a team
  • Experience delivering production-ready data pipelines, including CI/CD management and support

Nice to Have

  • Experience with Azure OneLake
  • Familiarity with the broader Azure ecosystem, particularly Azure DevOps
  • Experience with Azure ML, especially in the context of model industrialisation

What We’ll Offer You
We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do.

We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed.

We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.

Our hiring process
We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process.

It Usually Looks Like This

  • Call with our Talent Acquisition Team
  • Role specific capability interview

Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens.

Inclusion at CreateFuture
We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work.

If you need any adjustments or support during the application process, just. We will do what we can to help.

We look forward to your application!

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Data Engineer

Data Science Application Developer

GlobalFoundries

Sofiafull-time

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Описание вакансии

Аbout GlobalFoundries
GlobalFoundries is a world-leading contract manufacturer for the global semiconductor industry with facilities in Dresden, Singapore, New York and Vermont (USA). Our products are used in various technical applications, e.g. mobile communications, consumer electronics, automotive and more. GlobalFoundries employs around 13,000 people worldwide, including 300 in Sofia.

Our Sofia based team will enhance GF’s scale and capabilities, while strengthening competitiveness of its specialized application solutions to further position the company for growth and value creation.

Our Design and Technology Enablement teams are working on the development of a broad portfolio of semiconductor technologies ranging from 350 nm down to 12nm including FD-SOI, RF, High-Voltage, and automotive applications.

Your Job
We are looking for candidates with a strong passion for software development and experienced in solving real world issues with automation flows. Fluent in coding with programming languages (JavaScript, Python, R-script). The candidate should be interested in custom tools development and infrastructure development, in addition, would like to build skills and expertise in advanced data analytics and machine learning

Responsibilities

  • Develop new functionality and build tools to automate and improve efficiency of device engineering core tasks
  • Build and maintain data flows, database infrastructure to enable and support Big Data analytics projects for Device Engineering organization
  • Support deployment of Machine Learning (ML) projects in cloud environment for all Fabs
  • Contribute to software development of Global Device Engineering infrastructure efficiency and innovation projects: Define, generate, and maintain efficient coding in Python, JavaScript or R and other programming languages
  • Working with device engineering teams at Fab locations to improve automation for multiple job functions, building tracking dashboards
  • Integrate existing Device Engineering analysis tools and software with AWS cloud databases
  • Productize small scale application solutions for larger use and drive adoption / standardization across the Device Engineering organization
  • Customer focused approach to developing and delivering ad-hoc analysis applications
  • Collaborate across organizational boundaries within Technology Development and Design Enablement Teams, present project status to peers and the leadership team as needed
  • Able to handle multiple projects
  • Quick learner and team player in an international multi-disciplinary environment

Required Qualifications:

  • BS or MS in Computer Science, Software Engineering with 3 years of experience
  • Expert level and industry experience in custom software development using Python, JavaScript or R-script.
  • Strong data analysis, data mining and problem-solving skills.
  • Experience with Cloud data technologies.
  • Experience with SQL or other databases.
  • Strong interpersonal skills; team player; able to work effectively in a dynamic, fast-paced environment.
  • Excellent written and oral communications skills.
  • Understanding of semiconductor devices and process fabrication flow is a plus

We Offer

  • Attractive compensation package with competitive salary, performance related bonus plan and a global recognition program.
  • Employee Stock Purchase Plan (including 20% match and 50 seed shares for first time participants, non-executive).
  • Individual, technical or management career path opportunities supported by enhanced learning and development programs.
  • Healthy and teambuilding work environment with various perks:
  • Additional medical service, including dental and, coverage of employees’ children
  • Food vouchers and canteen discounts
  • Monthly budget for Flex benefit
  • Top-rated office location with recreation Spa facilities
  • Discounts for Spa & Wellness Programs at NV Tower
  • Regular Team Events and Celebrations
  • Focus on employee work-life balance:
  • Hybrid working model and flexible working time
  • 21 to 25 days paid vacation depending on years with the company

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency, and innovation whilst our employees feel truly respected, valued and heard.
Information about our benefits you can find here: https://gf.com/careers/opportunities\-in\-europe/

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Ещё 31 вакансия по этой категории в этой стране

Management Consultant - Data EngineeringBaringa · Bulgaria

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