Data Engineering Manager
EOR - Germany, EOR - Netherlands, Spain, United Kingdom
Typeform
Build beautiful, interactive forms — get more responses. No coding needed. Templates for quizzes, research, feedback, lead generation, and more. Sign up FREE.Hi! Before diving into the job details, let's give you some context on who we are and what to expect when joining the team.
Typeform has seen significant change since it was founded 10 years ago. We’re expanding from a small Barcelona-based business to a truly international and remote company. We can hire in Spain, the United States, the United Kingdom, Colombia, France, Germany, Ireland, the Netherlands, Poland and Portugal. The location is to be subjected to change, depending on the role.
Our vision is a world of more personal business relationships. We believe we can create that world by living our mission: To bring people closer with better conversations.
To do so, we look for people who are curious, ready to own their objectives, and passionate about taking organizations to their next chapter. But we are aware it’s not for everyone, our environment is perfect for those willing to become a change agent and roll up their sleeves to build our rocket ship.
About the role
At Typeform, the Data team is making data our #1 asset. And we know how important that is— our product helps people collect information in the best way possible, by making the user experience as human and conversational as it can be.
That’s why we need you. We’re looking for a Data Engineering Manager to work within our Data Enablement pillar to manage the Data Engineering Team. We work closely with the Data Warehouse team and the Tracking team to enable Data and other departments at Typeform (such as Product, Marketing, Customer Success and Software engineering), providing them with the data they need to drive the business forward and push our product to the next level.
The role will directly manage members of the Data Engineering team and will be committed to people development, mentoring and support. The role will communicate and work with senior directors, managers and individual contributors across Typeform.
Experience in a dynamic start-up/scale-up environment is great, but equally important is experience of strong governance and scalable practices learnt from an established business.
This is a dream job for an experienced and motivated individual to join the Data Team of such an exciting business with such a gorgeous product.
Job description
- Be responsible for the near real time transfer of data from source systems to the Data Lake, between systems within Typeform and to/from external tools
- Responsible for designing, engineering, developing, and delivering an information technology infrastructure that supports the whole Data Team
- Guide the development of scalable data architecture by a team of data engineers who populate and maintain Typeform’s Data Lake
- Leading and supporting Typeform’s engineering teams in design, development and rollout of Data systems and services
- Partnering with system architects, functional managers and program managers to deliver mission critical data to where it is needed
- Build infrastructure and services that have immediate impact on our colleagues and Customers
- Management of assigned staff development (performance management, merit, promotions, growth) and policy compliance, all aspects of staff hiring, resource planning, assignments
- Be responsible for the Data Team’s technical strategy and roadmap – creating success metrics in close collaboration with internal customers
- Work with engineering tech leads and senior engineers to gather data/system requirements, review new feature proposals and large system improvements
- People management and communication are key skills for this role
Essential
- Strong Data Architecture mindset
- 5+ years of experience in the Data field, with a proven track record of technical ability
- 1+ years of experience in engineering management, preferably in a data engineering role
- Leadership, change management and support & inspiration for team members
- Hands-on experience with cloud data infrastructure, as used for ingestion, processing, warehousing, orchestration and modeling
- Experience with modern cloud data warehouses (AWS Redshift, GCP BigQuery, Azure Synapse or Snowflake)
- Strong problem solving skills and stakeholder management abilities
- Strong communication skills and fluency in English
Desirable
- Previous experience in using event-driven architecture with Kafka
- Experience with Apache Spark (in both batch and streaming)
- Experience with a job orchestrator (Airflow, Google Cloud Composer, Flyte, Prefect, Dagster…)
- Hands-on experience with AWS
To fulfill our vision (Bring people in) and mission (To bring people closer with better conversations), our 500 remote Typeformers from 55 different countries come together to live up and deliver on that promise.
In addition to being a validation of what we've built, our recent $135 million Series C funding round will fuel us to accelerate our product development, nurture emerging technologies, expand headcount, and deepen strategic partnerships across our platform with this investment.
Why? Simply because 89% of companies say online is their principal customer interaction channel.
Yet, only 34% of companies treat customers as unique individuals.
Are you ready to join us and make a difference?
* 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.
Tags: Airflow Architecture AWS Azure BigQuery Dagster Data warehouse Engineering GCP Google Cloud Kafka Redshift Snowflake Spark Streaming
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open ML models-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs