Job description

Who are we

Founded in 2017, Lokalise is a cloud-based translation management system that helps businesses streamline their localization processes. It provides a platform for managing translations of software, websites, mobile apps, and other digital content. Overall, Lokalise helps businesses improve their time-to-market, increase translation quality, and reduce costs associated with localization.

Location

While our company operates exclusively on a remote basis, you must reside and have the legal right to work in one of the following countries: the United Kingdom, Latvia, Spain, Germany, Denmark, Poland, Portugal, or Ireland.

About

We are looking for a talented and experienced Senior Analytics Engineer to join our data team. This team is responsible for designing, building, and maintaining robust and scalable data pipelines to support critical business decisions and to expose actionable product insights to our customers.

You Will

Work closely with software developers, data analysts, product managers and business owners in optimising data analytics lifecycle impacting our colleagues and customers.
Work closely with data engineers in maintaining and optimizing our ingestion data pipelines.
Provide clean datasets to end users by designing, implementing, documenting and optimizing our semantic layer: from raw data into foundational business data tables.
Own the quality, consistency and readiness of reporting data tables to be exposed in our endpoints (e.g. Metabase and Lightdash)
Improve our company’s data literacy by educating product managers and business owners on how to use our business intelligence tools.
Apply software engineering best practices to our data transformation code (e.g. version control, testing, continuous integration).

You Must Have

3+ years of experience in building analytics in a SaaS B2B environment in at least one (more is a plus) of the following business areas: Product, Marketing, Sales and Finance.
Strong proficiency in SQL and Python.
Experience with data warehousing (e.g. Snowflake) and ETL/ELT tools (e.g. dbt)
Experience with data modeling techniques (e.g. snowflake schema).
Experience with data visualization tools (e.g. Metabase, Looker or Lightdash).
Experience working with a version control environment (e.g. git).
Experience implementing and maintaining data quality alerting and monitoring.

It’s a Plus If You Have

Experience in building customer-facing analytical products.
Experience in data orchestration tools (e.g. Airflow, Prefect, Astronomer)
Experience with cloud platforms (e.g. AWS, Azure, GCP) and cloud data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery).
Experience with data processing frameworks like Apache Kafka, Apache Iceberg and Debezium.
Experience integrating third-party tools through data movement platforms (e.g. Fivetran, Airbyte)

Our Benefits

Competitive salary and employee stock options plan
Fully remote and flexible working hours
Co-working budget
Unlimited vacation policy
Top-notch tech equipment for your work
Learning & Development program
Health insurance
Wellness benefits
Mental health support - every employee has access to a dedicated mental health platform
Great startup atmosphere, team spirit, and team events

We are committed to a culture of inclusion and equal opportunities. Therefore, we welcome applications from people of all gender identities, sexual orientations, personal expressions, relationship, marital, or civil partnership statuses, racial identities, national or ethnic origins, religious beliefs, ages, and disability statuses.

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