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Who are we
At Lokalise, we make it easy and profitable for businesses to expand into new markets. Founded in 2017, our AI-powered translation and localization platform automates workflows, integrates with over 60 tools, and helps product teams launch multilingual products 10x faster and at 80% lower cost. Trusted by thousands of businesses across over 100 countries, Lokalise is empowering more than 25 million people worldwide to use diverse services in their native languages. Backed by a customer-loved support team, our platform seamlessly fits into your design and development processes, helping you scale effortlessly.
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.
