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Senior Data Engineer

Sofia, Hybrid, Bulgaria

Senior Data Engineer

Location: Sofia, Bulgaria, Hybrid role

About the job

Our client is a fast-growing, international business and technology consultancy providing advisory and delivery services to a variety of businesses.

What will you be doing?

This is a unique opportunity to join an exciting, growing team operating with Data, Analytics & AI practices: helping project in organizing and controling data, turning data into insight and helping embed AI into businesses.

You will be using your extensive experience to support organizations to 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. Depending on the level, you can be a part of the data engineering capability leadership team, shaping the direction of the practice, growing the business, and leading our people.
  • Define and implement end to end data architecture including data pipelines and data models
  • Help our clients transition to modern cloud-based infrastructures (AWS, Azure, GCP) and to leverage related architecture patterns (e.g., APIs, events)
  • Work with our clients in more traditional areas of data engineering such as, data warehousing, building operational ETL/ELT data pipelines across several sources, and constructing relational and dimensional data models
  • Define and implement on premise and cloud architectures. Examples of these architectures could be to implement a cloud data warehouse, data lake or a data platform to enable digital transformation
  • Perform maturity assessments across our clients’ data capabilities and recommend changes to improve their capabilities
What are we looking for?
We recruit individuals at all levels based on merit, if you can demonstrate some of the skills we are after we would love to hear from you.

Some Of The Key Skills We Are Looking For
  • We’re looking for experienced consultants (or those with consulting skills gained in industry) who can both advise our clients and, when needed, get hands on in bringing a solution to life
  • You must have more than 5 years of experience in hands on data engineering, solution design, and architecture
  • Understanding of key core concepts like distributed computing, batch and stream processing, functional and object-orientated programming, how pipelines are built and deployed on cloud, pipeline schedules and SLAs
  • Experience of designing and building at least one modern data analytics solution using cloud technologies (Azure, AWS, GCP)
  • You have expertise in designing robust, scalable solutions and data pipelines to automate the ingestion, processing, orchestration, and delivery of all types of data: structured and unstructured, batch and real-time streaming data
  • You understand common data engineering/data architecture patterns and anti-patterns dealing with different types of data
  • Capability to complete assigned projects with high degree of autonomy working with key client stakeholders
  • You have experience of applying DevOps practices to data engineering, including automated testing, and deployment of specific components (e.g., database changes) using a continuous integration pipeline
  • You have worked on big data platforms either on premises or on cloud
  • You have experience in using cloud technologies as both infrastructure and as a service
  • You have knowledge of building CI/CD pipelines
  • You have knowledge of different technology stacks including common legacy and modern stacks. You have working knowledge of some of the leading data (vendor or open-source) tools/technologies like Databricks, Snowflake, Airflow, dbT, etc.
  • Competent in SQL and at least one modern programming language, such a Python
  • You are well-versed with documentation and artefacts that needs to go along with the solution design and delivery work. For example, high- and low-level solution design, coding standards, technical specifications, etc
  • You hold at least a bachelor’s degree, in any discipline. A master’s degree in a technical discipline (computer science, engineer, or another STEM discipline) would be helpful but is not essential for success
For more questions, you can write to neli(@) 
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