Data Engineering Consultant

Baringa

Sofia, Bulgaria

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.

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.