Senior Data Platform Engineer, Landbot
Chatbot builder
Job no longer available
Chatbot builder
21-100 employees
Job no longer available
21-100 employees
Company mission
To help companies to create conversational experiences so they can boost customer engagement with human conversations, at scale.
Role
Who you are
- We’re looking for a Senior Data Platform Engineer with fullstack ambitions, somebody who is able and willing to contribute throughout the whole lifecycle of building data products
- Thus while your main domain expertise should be in Data Engineering, we look for folks who are also able and interested in contributing with tasks that are usually more aligned with Data Scientist or Machine Learning Engineering roles
- Experience building data products: gathering and understanding stakeholder pains, agile product development, up-to-date knowledge of the technology landscape to design appropriate solutions
- Experience building ELT/ETL data pipelines using the modern data stack (Data/delta lakes, Airflow/Prefect/Dagster, Bigquery/Redshift/Snowflake, dbt, reverse ETL)
- Proficient in SQL, Python
- Experience working with DevOps practices as CI/CD and Infrastructure as Code
- Experience provisioning and managing cloud infrastructure
- Ability to design and optimize cloud-based architectures for performance, scalability, availability, and cost-efficiency, with a strong focus on maintainability
- Ability to work in pairing/mob programming and async work
- Eligibility to work in Spain
Desirable
- Experience with real-time or near-real-time data pipelines (ex: Kafka/PubSub, Flink, Storm, Structured Streaming)
- Experience with Airbyte
- Experience with Gitlab pipelines, Kubernetes and Terraform
- Experience with Google Cloud Platform (Cloud Storage, Cloud SQL, BigQuery, Cloud Functions, PubSub, Cloud IAM, Networking, Cloud Monitoring/Trace/Logging) and its analytics/data stack
- Experience with NoSQL and vector databases
- Ability to drive decisions and solutions approaches on RFC (Request for Comments) and ADR (Architecture Decisions Records) formats, as same as document processes for a broad audience to minimize silos of knowledge
What the job involves
- Designing, developing and maintaining a common analytics platform to empower teams to build reports, draw insights and build automations with their area’s tooling stack
- Development of our data warehouse in conjunction with our Data Analysts/Scientists, from provisioning the relevant cloud infrastructure, managing the data ingestion pipelines, and ensuring quality, security and privacy through data governance
- Partnering with product and engineering to enhance our data platform to enable experimenting and shipping AI/ML-powered products
- With us, you will be working in a team of engineers, data, designers, PMs. A team with diverse and exciting backgrounds coordinated with agile methodologies
Application process
- 1️⃣ CV screening
- 2️⃣ Phone screen with HR & Hiring Manager
- 3️⃣ Technical take-home challenge
- 4️⃣ Team presentation of challenge results
- 5️⃣ CEO interview
Our take
Chatbots have been around for quite some time and have seen a few iterations over the decades. But chatbots can require heavy coding which is costly, time consuming and can only be executed by professionals. There was also a huge gap between user expectations and reality.
Landbot had the idea to create a drag-and-drop style bot-builder that doesn’t require coding to support custom conversation flows. This quickly proved to be popular with customers, and the company have grown exponentially, being trusted by thousands of leading businesses including Coca-Cola, Nestle and Prudential.
Back in 2021, Landbot acquired Morph.AI, a chat-based marketing automation tool based in India. This supported its expansion into the Asian market, as the company aims to secure a position for itself against competition from other players like ManyChat.
Freddie
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (2 rounds)
Jan 2021
$7.1m
SERIES A
Jul 2018
$2.1m
SEED
Total funding: $9.2m
Company benefits
- Great culture & working atmosphere
- Live and work in sunny Barcelona
- Hybrid culture
- Friday happy hours and after hour weekly team meetings
- Flexible holidays so you can take time off when you need it
- Bonus transport tickets, educational content and all you need to feel empowered
- Referral Bonus if you bring other talented people like you
- MacBooks are our standard, but we’re happy to get you whatever equipment to get your job done
Leadership
Cris Villar
(Founder & VP of CS/Sales)Executive Member of Pavilion. Was COO & Co-Founder of Yexir and Helloumi and CEO & Co-Founder of Lanzadera.
Salary benchmarks
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