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- Tasks: As a Data Engineer, you'll shape our data systems and collaborate with teams to deliver user-centric solutions.
- Company: Adthena is an award-winning search intelligence platform using AI to help brands dominate paid search markets.
- Benefits: Enjoy remote work options, trust-based vacation, stock options, and a supportive culture focused on growth.
- Why this job: Join a dynamic team, work with cutting-edge tech, and make a real impact in a thriving company.
- Qualifications: Bachelor's degree in Computer Science or equivalent experience; proficiency in Java, Scala, and data processing systems.
- Other info: Be part of a friendly, passionate team with a strong engineering culture and opportunities for career development.
The predicted salary is between 36000 - 60000 £ per year.
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Join us in shaping the future of paid search intelligence.
Adthena is an award-winning search intelligence platform powered by patented AI technology and a team of dedicated experts. We help brands, marketers, and agencies dominate their competitive landscapes with unparalleled insights into the paid search market. Our Whole Market View, Smart Monitor, and Local View solutions give clients the clarity to optimize spend, increase ROI, and stay ahead of the competition.
Trusted by global brands like Citibank, L’Oréal, and Volvo, and backed by Updata Partners, we’ve been redefining search intelligence since 2012. Ready to make an impact in an industry-leading company? Let’s do it together.
In 2024, Adthena continued its winning streak, earning 9 major search industry awards. Highlights include Best AI Search Software Solution at the Global Search Awards, Best Use of AI for Data at the US Search Awards, and Best PPC Management Software Suite at the UK Search Awards.
Why Join Us?
We offer the best of both worlds: the maturity and stability of a well-established company combined with the energy, agility, and impact of a scaling tech organisation.
If you’ve been hesitant about joining a typical tech company due to concerns about chaos, fragility, or volatility, Adthena is your answer.
We’re smaller than large-scale enterprises, offering more autonomy, less red tape, and accelerated growth.
Here’s what we offer:
Startup Engineering culture
Strong Culture: Our quarterly surveys show a 93% average approval rating for company culture, with an overall eNPS of 27.
Award-Winning Product: Best AI Search Software Solution, Global Search Award 2024\”
Stock Options: Our employees do incredible work, so as we grow, everyone shares the rewards.
Trust-Based Vacation: Take as much time off as you need, when you need it.
Remote-First: 52% of Adthenian’s work fully remote, with others choosing Hybrid Work at our 3 Geohubs (London, Austin, Sydney).
Flexible Work: Work how and where you do your best, with full autonomy over your day.
Career Growth: Bespoke training and career development via \”Sherpa plans” to guide your growth.
Monthly Hackdays & Training Days
Private Medical Insurance: Fully covered health care.
Mental Health Support: Employee Assistance Program offering 24/7 confidential counselling, with access to ‘healthier living’ services such as ‘HeadSpace’.
Family Care Package: Up to 6 months fully paid maternity leave, and 2 months paternity leave.
Pension: Competitive UK pension scheme, available from day one.
Home Office Stipend: $200 for your ideal remote setup.
Swag Welcome Gift: $70 credit to grab some merch.
Regular Socials: Summer & Christmas parties, annual and quarterly offsites, monthly meet-ups. See here for more info.
Volunteer Days: Make a difference with paid volunteer time each quarter. See here for more info.
About the Role
Reporting to: Vasanth John, VP of Engineering
Location: United Kingdom or Europe
Interviews: 3 stages
Start Date: ASAP
More info: See FAQ below, our candidate hub, or reach out to
About your Team
Athena\’s data team is a market leader in developing complex ETL and machine learning solutions. With published authors and award-winning data scientists who contribute some of the major machine learning and distributed data technologies, such as Apache Spark, we are a friendly, passionate group of engineers making a career out of building great software for our customers.
The Adthena data team is dealing with hundreds of millions of data points every day, generated from over two thousand data processes running through workflows, huge distributed computations in Spark, and streaming data coming in twenty-four hours a day at hundreds of times a second.
Our engineering culture is underpinned by sharing knowledge, coaching and growing together. You will have the opportunity to explore/innovate new technologies, mentor engineers, and lead Technology initiatives. You will enjoy this role if you love writing code, learning cutting-edge new technologies, solving problems and winning as a team.
What you’ll do at Adthena
As a Data Engineer, you’ll work across the entire stack and help shape the future architecture of our complex data systems. You’ll collaborate closely with Web and Data Science teams to deliver user-centric solutions—while using modern tools, including Gen AI assistants, to accelerate development, improve quality, and amplify team velocity. This is a role for someone who loves writing code, solving hard problems, staying ahead of emerging tech, and driving engineering excellence.
Responsibilities
Understand distributed technologies and the best practices around them
Build and maintain services/features/libraries that serve as definitive examples for new engineers
Design and write effective, complex Spark jobs (data processes, aggregations, pipeline)
Design and write complex asynchronous, highly parallel, low-latency APIs and processes
Use Gen AI tools (e.g. code assistants, AI docs) to boost speed, quality, and team efficiency
Work as part of an Agile team to maintain, improve, and monitor Adthena\’s data collection processes using Scala and Java
Apply industry practices such as TDD and SOLID, and also Adthena\’s Engineering Practices
Understand and be able to apply data structures and algorithms
Understand Adthena\’s data architecture and use appropriate design patterns
Design and implement databases for relational and non-relational storage technologies.
Support our Data Science team to help deliver their machine learning models into production environments
Be empathetic towards team members and customers
Who we look for
Research shows men apply if they meet ~60% of the criteria, while women and underrepresented groups apply only if they meet all requirements. If you have the skills but don\’t meet every requirement, reach out – we\’d love to explore how you could be a great fit!
Preferred Experience:
Bachelor\’s degree in Computer Science, a similar technical field of study or equivalent practical experience.
Commercial experience using Java and Scala (Python nice to have)
Experience in data processing using traditional and distributed systems (Hadoop, Spark, AWS – S3)
Experience designing data models and data warehouses.
Hands-on experience applying Gen AI tools to accelerate coding, debugging, or system design.
Strong understanding and application of data structures and algorithms in building efficient solutions.
Experience in SQL, NoSQL database management systems (PostgreSQL and Cassandra)
Commercial experience using messaging technologies (RabbitMQ, Kafka)
Experience using orchestration software (Chef, Puppet, Ansible, Salt)
Confident in building complex ETL workflows (Luigi, Airflow)
Good knowledge of working with cloud technologies (AWS, GCP)
Good knowledge of using monitoring software (ELK stack)
Motivated problem-solving skills, ability to bring ideas forward and adapt solutions to complex challenges
Our Core Values
All Adthenians are expected to align closely with our ‘Core Values’.
What it means…
Get Shit Done: We\’re big on taking action, owning our challenges, and finding solutions.
Freedom with Responsibility: We take charge of results to recognition. We know that our hustle not only moves the needle for the company but also sets us up for personal success.
Deliver Remarkable Quality: We care about exceeding expectations in the work we do and aim to always do our best work as individuals and as a team.
Smart & Always Improving: We strive daily to expand our knowledge and become better at what we do.
Meet your teammates
You’ll work closely with:
Paul Felby
Title: Chief Product & Tech Officer
LinkedIn:
Vasanth John
Title: VP of Engineering
LinkedIn:
Ivan Nikolov
Title: Lead Technical Architect
LinkedIn:
#J-18808-Ljbffr
Data Engineer employer: Adthena
Contact Detail:
Adthena Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, such as Apache Spark and Gen AI tools. Being able to discuss your hands-on experience with these technologies during interviews will demonstrate your readiness for the role.
✨Tip Number 2
Network with current or former employees of Adthena on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented complex ETL workflows or worked with distributed systems. Highlighting your problem-solving skills and how you've tackled challenges in past roles will resonate well with the interviewers.
✨Tip Number 4
Showcase your understanding of Agile methodologies and how you've applied them in previous roles. Adthena values collaboration and efficiency, so demonstrating your ability to work effectively in an Agile team will set you apart.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Engineer role at Adthena. Focus on your proficiency in Java, Scala, and any experience with data processing technologies like Spark and AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Adthena's mission. Mention specific projects or experiences that demonstrate your ability to solve complex problems and work collaboratively.
Showcase Technical Skills: In your application, emphasise your technical skills, particularly in building ETL workflows, using Gen AI tools, and your familiarity with SQL and NoSQL databases. Provide examples of how you've applied these skills in previous roles.
Highlight Team Collaboration: Adthena values teamwork, so be sure to mention any collaborative projects you've worked on. Discuss how you contributed to team success and how you can bring that same spirit to their data team.
How to prepare for a job interview at Adthena
✨Understand the Company Culture
Before your interview, take some time to research Adthena's culture and values. They emphasise a strong engineering culture and collaboration, so be prepared to discuss how you align with their core values like 'Get Shit Done' and 'Deliver Remarkable Quality'.
✨Showcase Your Technical Skills
As a Data Engineer, you'll need to demonstrate your proficiency in Java, Scala, and data processing technologies like Spark. Be ready to discuss specific projects where you've applied these skills, and consider preparing examples of complex ETL workflows you've built.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex challenges, especially those related to data structures, algorithms, and distributed systems. This will show your analytical skills and adaptability.
✨Engage with the Interviewers
During the interview, don't hesitate to ask questions about the team dynamics and ongoing projects. Engaging with your interviewers not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Remember, it's a two-way street!
