Senior Data Engineer (Data Operations Team)
Hi there!
We are Semrush, a global Tech company developing our own product – a platform for digital marketers.
Are you ready to be a part of it? This is your chance! We’re hiring for Senior Data Engineer (Data Operations Team).Tasks in the role
As a Senior Data Engineer, you will play a key role in evolving and stabilizing the company’s data infrastructure. The current data landscape consists of two parallel platforms - Analytics and Integrations, which are being actively unified as part of a broader modernization initiative. This role combines hands-on engineering, architectural ownership, and close collaboration with stakeholders across Engineering and the business.
You will contribute as a senior technical driver, helping shape the target unified platform while ensuring continuity and reliability of existing analytics workloads.
Your responsibilities will include:
Identify and carefully resolve infrastructure inefficiencies
Conduct audits of existing infrastructure and propose improvements
Oversee infrastructure health, performance, and cost efficiency
Evaluate architecture proposals from peers and provide feedback
Make key architectural proposals
Develop and deploy IaC using Terraform
Create and maintain CI/CD pipelines in GitLab
Design, build, and optimize data pipelines using BigQuery, Airflow & dbt
Monitor and troubleshoot cloud infrastructure, pipelines, and workflows
Support the development and maintenance of ML/AI tools and workflowsConduct code reviews for merge requests
Who we are looking for
4+ years of DE experience (or Backend/DataScience 2+ years & DE 2+)
2+ years of experience with one of the Top-3 Cloud Providers (preferably GCP)
Proficient in System Design & Architecture
Proficient in Python
Advanced knowledge of SQL
Strong expertise in dbt management
Strong expertise in Airflow management
Proficient in IaC tools (Terraform)
Proficient in CI/CD tools (GitLab)
Experience with Containers (Docker, Kubernetes)
Experienced in Monitoring & Alerting (Grafana)
Strong project management skills across the full delivery lifecycle: from requirement gathering and decomposition to roadmapping, prioritization, execution, and delivery
Proactive and autonomous, able to make efficient decisions with minimal supervision
Strategic and structured thinker
Excellent problem-solving skills and attention to detail
Strong communication and stakeholder management skills, with ability to build reliable partnerships
Not required but a plus
Previous experience working as a Data Engineer in a B2C SaaS company
Background in software engineering or backend development
Experience working with APIs and API-based data ingestion or integration patterns
Experience with BI and visualization tools such as Tableau or Power BI
We will try to create all the right conditions for you to work and rest comfortably
Flexible working hours
Unlimited PTO
Flexi Benefit for your hobby
Employee Support Program
Loss of family member financial aid
Employee Resource Groups
Meals, snacks, and drinks at the office
Corporate events
Teambuilding
Training, courses, conferences
A little more about our company
Semrush is a leading online visibility management SaaS platform that enables businesses globally to run search engine optimization, pay-per-click, content, social media and competitive research campaigns and get measurable results from online marketing.
We've been developing our product for 17 years and have been awarded G2's Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker.
10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,700 people around the world are working on its development. The Semrush team is constantly growing.
Our Diversity, Equity, and Inclusion commitments
Semrush is an equal opportunity employer. Building a better future for marketers around the world unites people from all backgrounds. Even if you feel that you don’t 100% match all requirements, don’t be discouraged to apply! We are committed to ensure that everyone feels a sense of belonging in the workplace.
We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.
Our new colleague, we are waiting for you!
At Semrush, we take a serious and comprehensive approach to hiring new people. We welcome those who are professionals in their field and passionate about their work to join our team.
A “five-minute interview” or “get a job in three clicks” approach is not the way we work.
During the interview, we ask candidates to talk about themselves and their background in detail. We try to discover the most important aspects about the way someone works and their personality before a job offer is made.
Once the resume is received it will be reviewed by a member of the Talent Acquisition team. We try to provide feedback within three working days.
Flexible approach for an interview format
In order for the online meetings to be productive, we suggest following these tips to make sure you are set up well:
- Join the interview from a laptop or desktop computer (not a smartphone). You may need to print something or present your screen during the interview.
- Please turn on your camera. Visual communication is especially important for us.
- Choose a quiet place to talk. Attending an interview from the street is not a good idea.
- Keep your phone at hand in case there are technical issues that mean we have to continue the interview by direct call.
Analytics
The Semrush Analytics team helps the Company's employees analyze past events, accurately interpret the present situation, and then predict the future. They accomplish all this only by looking at data.
The Analytics team handles stats, calculations, scoring and predictive models, clustering, multi-channel attribution, anomaly analysis, and many other queries from the Marketing and Development teams. In addition, these colleagues deal with business metrics at a company level.
The team members are split between offices in Europe and the US.
The team’s secret passion is finding solutions to new challenges. Sounds intriguing, right?