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Data Engineer
What is day-to-day life like as an Data Engineer, what are the main responsibilities, and what skills do you need to excel?
We chatted to Tesni Filzek, who is a Data Engineer at Kainos, to find out what day-to-day life is like in her role
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Role Profile
As a Data Engineer you will be tasked to be able to transform data into a way where it is easily legible and can be analyzed. In your role you will tasked to colloborate very closely with Data Scientists and will be the creator of producing solutions and ensuring that they solve problems with agility. You must execute this through developing, maintaining and checking infrastrure for data generation.
You will also see in your role that you must be able to work closely with other deparmyments as your work will heavily be reliant on the support from software developers, database architects, data analysts and scientists. The level which you can communicate with your collegues will determine the data delivery and its conistency throughout a range of projects.
Key responsibilities
Work with data in order to solve buisness probloms whilst also creating and maintaining the basic infrastructure to support collegue with problems
Create innovative ways of being able to improves processes and improve the effciency within the organisation
Support streamline data science workflows and improving the product whilst building out models for customer retention and lifecyle
Be up to date with latest tchnological advances and ways of improving controlling data
Collaborate with management to understand the company objectives
Create new data methods that are able to validate and data analysis tools
Ensure compliane with data governance and security policies
Requirements
If you are to be successful as a Data Engineer, you must:
Have excellent analytical and problem-solving skills in order to suggest solutions to problems swiftly
Have a good understanding of database interrogation and analysis tools
Excellent communication and presentation skills in order explain your findings to people who don't understand the mechanics behind data analysis
Effective listening skills in order to understand company values and goals
Be resilient to try new ideas if you face hurdles, you'll be expected to work with little to no supervision, so it's important that you're able to motivate yourself
Good planning, time management and organisational skills
Be able to deliver under time pressured conditions and meet tight deadlines consistently
Great teamwork skills and a collaborative approach to sharing ideas and finding solutions
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