Big Data Engineer - Veridion
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Big Data Engineer
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Who we are

  • We’re an early-stage VC-backed start-up that has raised $9M to date from VC funds and private investors. Founded in 2019 by Florin Tufan, Mihai Vinaga and Sorina Vlasceanu, we’re currently a team of 40+ driven individuals, mostly engineers and technical people, investing our time to solve problems that haven’t been solved before anywhere in the world.
  • Even as a young company, at the beginning of our exponential growth, we already work with some of the largest companies in the world. We bring together exceptional minds and characters, people with a growth mindset, strongly committed to achieving high performance, both individually and as a team.

Who you are

  • Determined, resourceful and altruistic enough, you prefer simple and straightforward communication and tend to be motivated by obstacles, not discouraged by them. You enjoy identifying and solving complex problems and don’t shy away from stepping out of your comfort zone, as you love learning more than you hate making mistakes.
  • A High-Achiever, as proven by your extra-curricular, professional or academic experience, passionate about exploring the way different areas related to your activity impact your end results. You’re driven by your relentless curiosity and the desire for and knowledge sharing with some of the best in the field.

What we do

  • We’re building a refined search engine for business data across all industries. Veridion takes an approach that’s similar to Google’s by providing business data enrichment with unprecedented coverage of SMBs, accurate classification and in-depth insights based on real-time updates.
  • We analyze hundreds of billions of webpages every month, then apply several AI models to break them down into usable business data.
  • This results in tens of data points associated with each company, such as the company description, alternative names, tags, business category & industry, office and retail locations.

What you‘ll do

  • You will develop the data extraction and processing mechanisms inside our big data infrastructure (Spark, Cassandra), that currently supports the processing of 6GB of data every minute. Your mission will be to improve the overall quality, width and depth of the data collected on companies worldwide.
  • You will work closely with Mihai (our CTO) and Marius, our Head of Data (20+ yrs of experience, founded several companies incl. avstore.ro), on optimizing, improving and normalizing the data we process. And the gems that make up our Data Engineering team one by one: Alex, Cosmin, Denisa, Dragos and Lucian.

What we value

  • We do remarkable work through breakthrough technology.
  • We’re loyal to the outcome of the positive synergy between us.
  • We’re persistent in our mission and dedicate outstanding effort for long term impact.

What you embody

  • You do remarkable work through impeccable work ethic.
  • You’re loyal to the end goal, your team and yourself.
  • You’re persistent in your commitment and go the extra mile for long term impact.

What it’s really like to work with us

  • We don’t settle for mediocre results and set our ambition up for the inevitable delayed gratification, as excellence requires significant time and effort.
  • We use the right tool for the job. No workarounds, no cutting corners. Breakthrough technology declutters our day to day and gives us the space to channel our efforts on what can’t be compensated for — the best use of our skills and abilities.
  • We make sure there’s a fair exchange between what each of us offers and what we get in return.
  • We’re life-long learners who can’t stop, won’t stop at what they already know, striving to be better and see each other grow.
  • Forget about micromanagement. Everyone here has a strong sense of ownership (we’re like start-ups within a start-up).
  • We know from the get-go that excellence requires discomfort and it’s not going to get easier soon.
  • Our team is based in Sky Tower, Bucharest. Discussions around the office are often hilarious, mind-expanding and quick-witted. Our regular hybrid setup is 2 remote days per week after the trial period, which is fully onsite.

What it should really be like to work with you

  • You’re team-centric, knowing it gets you way further than acting egocentric ever could. You don’t look the other way when it comes to helping your colleagues succeed.
  • You’re humbly aware that real growth means sacrificing the immediate gain in favor of long-term rewards.
  • You demonstrate resilience, especially in front of failure, that is always paired with pioneering work.
  • As a big picture thinker, you’re equally comfortable with zooming in on a granular level, inclined to examine things from different perspectives and question the default.
  • You hold yourself accountable to deliver at your best and are ready to have your ideas challenged anytime. You value two-way feedback as a vital part of further improvement.
  • You get excited when exploring varied thought-provoking topics and feel this kind of conversations are worth having.
  • You see the benefits of face to face interaction, spontaneous brainstorming sessions and close collaboration. You enjoy hybrid work and want to make the most out of connecting with people in your professional life, as well.
  • Mine and analyze data from across the web
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to text datasets
  • Use predictive modeling to increase and optimize data extraction and data quality at ingestion and post-processing
  • Develop the company’s A/B data testing framework and test the quality of the data continuously
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Prototype quickly to solve thorny use cases, without getting stuck in theory, as we’re prone to shipping early and often
  • Write well-designed, testable, efficient code
  • Identify areas of opportunity and improvement

Our responsibilities

  • Update you on the progress of our recruitment process
  • Validate expectations, goals and priorities with you
  • Provide the tools and resources to help you do your best
  • Give you the space to try new things out (your way)
  • Grant you the freedom to make reasoned decisions and own them
  • Share relevant information and encourage you to be an active part in discussions about what we’re building, how we’re building it and why it’s important
  • Cultivate a healthy work environment where you can openly say what’s on your mind
  • Listen actively so we can fully understand your perspective
  • Provide guidance and actionable feedback for your further growth
  • Celebrate your wins and give value-based recognition for your achievements

Your responsibilities

  • Mine and analyze data from across the web
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to text datasets
  • Use predictive modeling to increase and optimize data extraction and data quality at ingestion and post-processing
  • Develop the company’s A/B data testing framework and test the quality of the data continuously
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Prototype quickly to solve thorny use cases, without getting stuck in theory, as we’re prone to shipping early and often
  • Write well-designed, testable, efficient code
  • Identify areas of opportunity and improvement

Our qualifications

  • Before building Veridion, our 3 co-founders (Sorina, Florin and Mihai) worked at companies that impacted billions of users, having been exposed to diverse areas of technology that span from full stack web development to Big Data and robust Cloud infrastructure, as well as their product and business development proficiency.
  • This broad mix, critical to a true data-driven mindset, has been imprinted in our company’s culture since day one. And it massively steps up our game as engineers.

Your qualifications

  • Experience using statistical computer languages, preferably Scala (or R, Python, SQL etc.) to manipulate data and draw insights from (very!) large datasets
  • Experience working with and creating data architectures (Spark, Cassandra)
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Any knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks etc.) and their real-world advantages/drawbacks is a big plus

What we offer

  • The chance to shape an original product in a fast growing company, backed by VC investors
  • A merit-based, no BS, value-oriented and particularly collaborative work environment
  • Groundbreaking professional challenges and the autonomy to try stuff for the very first time, no matter how experienced you are
  • Real mentoring, intense brainstorming sessions and well-informed debates guided by a regular & straight-forward feedback philosophy
  • Pioneering work at the forefront of Big Data, Infrastructure and Machine Learning that sometimes means relying on academic papers as our only formal guiding tools in moving onwards
  • An engineering business culture where you speak the same language with your leaders
  • The thrill of being surrounded by extremely smart, yet humble individuals, a stellar international team that will both enable and encourage you to leave your mark
  • Fair compensation, the possibility of ESOP and upward salary growth based on performance.

What we expect from you

  • High speed and uncompromising quality in your work
  • A growth mindset, able to capitalize on unprecedented contexts through your skills and abilities
  • An appetite to grapple with a variety of technical challenges
  • The ability to quickly and effectively evaluate technical tradeoffs and translate them into relevant scenarios
  • Strong problem solving skills that enhance the way you deal with the tension between brief and shipping
  • Aversion to the idea of any customer or colleague struggling with what you delivered
  • High tolerance for ambiguity, marked by your ambition to push forward with incomplete information
  • Excellent communication and collaboration skills for coordinating across teams
  • Passion for Big Data, powered by the drive to learn and master new technologies and techniques (sometimes as soon as they launch)

Full disclosure

The way we work is not for everyone. And that's perfectly fine. We need to be fast as a start-up, so we expect you to be quick on your feet when it comes to making decisions and excited to roll up your sleeves to help the team in any way you can.

Raise the bar

We need people who are zealous about revolutionary technology, highly collaborative work and raising the bar on our product as it is unfolding.

Never settle

You'll be perfect for this role if you're not afraid to use every muscle and are comfortable taking on a lot of responsibility, leaving no stone unturned in your pursuit against the grain.

If you've read this far

You should be able to determine upfront whether you would thrive in a culture like ours. Having your expectations of professional growth in mind, we trust you are able to tell if this opportunity is a potential driver to your success.

First token of ownership

Here's an invitation to take your time and reflect on how much our core values and collective behaviors resonate with you and suit your style.

This way forward

And how much being a part of building something remarkable this way feels right for you going further.

If you're excited about our mission, but don't yet meet 100% of the qualifications above, we still encourage you to apply.

Big Data Engineer application

Now might be a great time to join our team, we're still small and everyone here makes a foundational difference.

Schedule a data consultation