Lead Data Engineer

Location

AD, AE + 146 more

Typeform

Job Description

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

About the team

At Typeform, the Data Engineering team is making data our #1 asset, and we know how important that is, as our product helps people collect information in the best way possible. We do that by making the user experience as human and conversational as possible. Typeform’s data needs are growing, and we need to find new technical solutions to respond to these needs.

About the role

We’re looking for a Sr. Data Engineer embedded in the broader Engineering organization to support all departments at Typeform (Product, Marketing, Customer Success, and Software engineering) and provide them with the data they need to drive the business forward and push our product to the next level.

Things you will do

Be part of the team responsible for the near-real-time transfer of data from source systems to the Data Lake, between systems within Typeform, and to/from our external tools.
Collaborate in designing, engineering, developing, and delivering an information technology infrastructure supporting the entire Data Team.
Help develop a scalable data architecture with a team of data engineers who populate and maintain Typeform’s Data Lake.
Lead and support Typeform’s engineering efforts in designing, developing, and rolling out Data systems and services.
Partner and learn with system architects, functional managers, and program managers to deliver mission-critical data to wherever it is needed
Help in building infrastructure and services that have an immediate impact on our business and customers.
Mentor and upskill junior team members.

What you already bring to the table:

4+ years of experience in the Data Engineering field, with a proven track record of technical ability
Previous experience in using an event-driven architecture with Kafka
Excellent stakeholder management and communication skills
Experience with Scala, Python, and SQL for data pipelines
Experience with modern cloud data warehouses (like AWS Redshift, GCP BigQuery, Azure Synapse or Snowflake)
Strong problem-solving skills
Strong mentorship skills

Extra awesome:

Experience with Apache Spark (in both batch and streaming)
Experience with a job orchestrator (Airflow, Google Cloud Composer, Flyte, Prefect, Dagster)
Experience with dbt

*Typeform drives hundreds of millions of interactions per year, powering conversational, human-led experiences all over the world. We are proud to be an equal-opportunity employer. We celebrate diversity and do not tolerate discrimination and harassment of any kind, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We believe that by celebrating our differences, we can win together.

Advice from our career coach

As a Senior Data Engineer at Typeform, you will play a crucial role in the near-real-time transfer of data, development of scalable data architecture, and engineering efforts to drive the business forward. To stand out as an applicant for this role, you should showcase your experience in data engineering, event-driven architecture, stakeholder management, and proficiency in Scala, Python, SQL, and modern cloud data warehouses. Here are some tips to help you stand out:

Demonstrate at least 4 years of experience in Data Engineering with a strong technical ability.
Highlight your previous experience using an event-driven architecture with Kafka.
Showcase your excellent stakeholder management and communication skills.
Emphasize your experience with Scala, Python, and SQL for data pipelines.
Detail your experience with modern cloud data warehouses like AWS Redshift, GCP BigQuery, Azure Synapse, or Snowflake.
Highlight your problem-solving and mentorship skills.
If applicable, mention any extra awesome skills such as experience with Apache Spark, job orchestrators, or dbt.