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Senior Data Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

4+ years experience in data engineering, Proficient in Python, Java, Scala or Golang, Experience with Azure, AWS, GCP preferred, Databricks experience for 3+ years required, Familiarity with data warehousing and ETL tools.

Key responsabilities:

  • Write custom code for data pipelines
  • Implement data warehouse models using SQL
  • Support existing processes and DevOps tasks
  • Develop highly-scalable data solutions
  • Work with various cloud technologies
Infinite Lambda logo
Infinite Lambda Scaleup https://infinitelambda.com/
51 - 200 Employees
See more Infinite Lambda offers

Job description

About us

Infinite Lambda is Europe’s fastest growing data and cloud engineering consultancy. We empower leading companies to scale and become data-first through agile, cloud-native solutions and bleeding-edge practices.

Our mission is to bring top professionals together to make an impact at the intersection of tech and sustainable growth. With distributed teams based in the UK, France, Hungary, Slovakia, Bulgaria, Vietnam, Italy and Romania, we embrace diversity and make sure everyone is happy to be their true self at work.

About the role

We are looking to expand our team of data engineers to help us create highly-durable, highly-scalable and highly-loved data solutions for our partners. We believe in innovations, so you will only be using cutting edge technologies and constantly add to your skillset to produce outstanding results.

As a data engineer at Infinite Lambda, you will be involved in everything from writing custom code for data pipelines (batch and streaming) to using ETL tools, implementing data warehouse models (SQL), supporting existing processes and generally doing DevOps tasks on the cloud.

Requirements

This is an exciting role that requires an impressive tech stack along with an amazing personality to thrive in our dynamic and diverse environment.

You will need 4+ years of experience to qualify for the position as well as:

  • Programming Languages: Python, Java, Scala or Golang

  • Cloud Providers: AWS, GCP, Azure (Azure is preferred)

  • Data Warehousing: Snowflake, Databricks, Redshift, Greenplum, Oracle, Db2 or similar (Must have experience with Databricks for minimum of 3 years)

  • Data Pipelining Tools: Snowplow, Fivetran, dbt, Talend

  • Relational Databases: Oracle, PostgreSQL, MySQL, Microsoft or similar

  • NoSQL Databases: MongoDB (Atlas), Cassandra, DynamoDB or similar

  • Streaming Technologies: Kinesis, Kafka or Google PubSub or similar

  • Containers & Container Orchestration: Docker & Kubernetes

  • Workflow Orchestration: Airflow, Cadence Workflow

  • OS: Linux, MacOS

  • Version Control: Git

  • Big Data stack: Spark, EMR, Hadoop, Hive, Presto

The following soft skills are also highly appreciated:

  • You are fluent in English

  • You excel in client-facing interactions

  • You are comfortable working in a distributed team

  • You have excellent communication skills

  • You love working in an agile environment

  • You are a self-starter and don’t need someone to tell you what to do all the time

  • You take pride in your work

Why join Infinite Lambda

  • We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;

  • You work autonomously here in a wholesome environment and get as much paid holiday as you need;

  • The projects are diverse and give you plenty of opportunity to experiment with new tech;

  • The benefits are plenty, with private health insurance, work-from-home budget, a company MacBook and more on the list.

 

▶ ▶ Submit your CV in English in PDF.

▶ ▶ Mind that as we are an international team, internal communication is in English.

▶ ▶ Please note that we do not sponsor visas.

Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never  discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Verbal Communication Skills

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