5 things every data engineer needs

Data Engineer (ˈdeɪtə/ɛndʒɪˈnɪə)

Noun. One who designs, builds and manages the information or data infrastructure. They develop the architecture that helps to analyse and process data in the way that the organisation needs and make sure those systems are performing smoothly.

Data Engineers are the cogs that keep the wheels turning in any data enterprise. They are the crucial components in any organisation, vital to the process of converting data into insight. So what are the five most important things that every data engineer needs?

A knowledge of programs

SQL, Python, Spark: These are the bibles of a data engineer, programs that they must know inside out. They should be able to stick up for the technologies which they are experienced with, and be open to learning from new ones as well. This is the technical knowledge which they must possess, translating into an ability to utilise a variety of programs in order to analyse, warehouse, transform and collect.

A love of code

The basis of any data engineer’s drive, lies in the language that they speak so fluently. This is the tool of their trade, and, like any good tradesman, they should eat, sleep and breathe their tool. This language is so infectious throughout their work by day that it will enter their dreams by night and it is not so rare for an engineer to wake from sleep having thought of a possible solution. They should always look to improve their code: cleaning it, adding to it, making new suggestions and optimising the existing code.

A passion for data

If code is the hammer, then data is the iron that goes under it. It is this passion for data — what it can be used for and why — that helps to determine the goals of a data engineer, as they use their own coding and knowledge to transform it into something practical. They are on the front line of data transformation, receiving raw, untouched data, which they must then clean and develop, the first in line in the process of converting data into knowledge.

A challenge to solve

Whether it is developing new methods to transform data or helping to build systems that will optimise code, data engineers are never happy unless they have a challenge to solve. In the course of converting raw data into something actionable, there are always challenges that arise and it is the engineers who must wrack their minds to develop a viable solution. To overcome the obstacles that they eternally encounter, they must ensure proactive cooperation with colleagues, demonstrate unshakable problem-solving capabilities, be entirely results focused, utilise internal efficiencies and prioritise those challenges that vex them most.

An ability to innovate

The world of data systems is constantly shifting as new technologies are introduced and more effective methods found for doing things found. A data engineer must be constantly willing and able to develop their skills and understandings in search of new frontiers and methods. In developing solutions to solve challenges, they must constantly adapt to new situations and, as a result, innovate fresh ideas to overcome unexpected obstacles.

Do you possess these five skills, crucial to any data engineer? If so, why not join our team at Starcount, where we are pioneering the latest in data-driven practices as we continue on our journey to become the foremost experts in the science of purchase and intent.


7 Steps to Data Transformation

Data transformation demands clearly pronounced goals, strong engagement strategies and a willingness to move quickly and risk failure. These require solid, visionary leadership in order to inspire buy-in across an organisation. This Whitepaper, authored by data pioneer Edwina Dunn details the 7 success factors needed for data transformation.

Read More

Leading high street bank onboarding SMEs

Starcount mined a High Street bank’s business data, third party data and Starcount Observatory data to better understand the SME market, their needs and wants.

Read More

Something for the weekend

Automotive partnerships, predictions about the … Continued

Read More

Unravelling the urban myths of the pensions industry

Starcount has delved into the state of the UK pensions industry, examining how disruption in the space is causing many providers to reassess how they communicate with their customers.

Read More

Retirement & Investments business

Starcount created actionable insight and a data-focused strategy for a leading retirement & investment business, developing a deep understanding of their customers and collating data to identify significant savings in their business.

Read More

The key to understanding emotional loyalty

This Whitepaper examines our revolutionary new approach to data science using emotional analytics, revealing how peoples' passions predict purchase.

Read More

Your Life: A revolution in approaching education

Starcount worked with community interest company Your Life to create deep insight into how schools are performing based on how highly they perform in STEM subjects.

Read More

Boosting test drives by personalising communication

Starcount worked with this automotive brand to maximise engagement and increase sales of their new model.

Read More

Customer centricity and the future of banking

Starcount has delved into the future of the banking industry, looking at how different forms of disruption, such as the Open Banking Initiative, will affect the industry.

Read More