SmartLunch

Data Engineer

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SeniorHybryda·WrocławFull-time

#456712·Dodano 23 dni temu·4

Źródło: SmartLunch

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Tech Stack / Keywords

dbtSQL Snowflake BigQuery ETLELTPython AirflowDagsterPrefect

Firma i stanowisko

SmartLunch is a platform that provides employees with access to tasty and healthy meals, demonstrating that companies care about people not only professionally but also daily. The company is building a new analytical domain and is looking for a technical specialist to improve data quality, architecture, and flow within the organization.

Wymagania

Minimum 4 years of experience in data engineering.
Strong knowledge of SQL and practical experience with dbt.
Experience with cloud data warehouses such as Snowflake or BigQuery.
Experience designing and implementing data models and ETL/ELT pipelines.
Understanding of event analysis and event tracking.
Experience with analytical/BI tools (e.g., Hex, Looker, Tableau) for data provisioning and optimization.
Ability to independently lead technical tasks end-to-end from concept to production.
Comfortable working in a dynamic product/technology environment.
Emphasis on code readability, automation, and high-quality solutions.

Nice to have:

Knowledge of Python for automation and data integration.
Experience with task orchestration platforms (e.g., Airflow, Dagster, Prefect).
Experience in product or technology companies during scaling phase.
Education in computer science, mathematics, physics, or related fields.
Experience with data ingestion/integration tools like Airbyte, Fivetran, Stitch, Meltano, or custom API integrations.

Obowiązki

Developing and maintaining data architecture and models based on dbt and cloud data warehouses.
Building standards for data engineering, modeling best practices, and maintaining code cleanliness and architecture.
Designing, implementing, and optimizing ETL/ELT data pipelines.
Collaborating with analysts, product, and cross-functional teams to provide high-quality data structures for analytics and reporting.
Building data model layers for analytics, reporting, KPIs, and self-service BI.
Maintaining Data Governance, data quality, consistency, and reliability.
Evaluating current technology setup and recommending further development of data tools and infrastructure.
Designing, developing, and monitoring data ingestion processes from source systems, APIs, databases, CRM/finance/marketing tools, and product applications to data warehouses.

Benefity

B2B cooperation with salary range 20,000 - 24,000 PLN net + VAT.
Flexible working hours.
Hybrid work model in Wrocław.
Opportunity to build the Data domain from scratch and influence the SmartLunch product development.
High autonomy and ownership in designing the analytics area.
Real impact on organizational strategy and decision-making.

Elastyczne godziny

SmartLunch

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