Senior Software Engineer (Data Platform)

27k - 38k PLN27 000 - 38 000 PLN/ mies./ mies.B2BB2B (netto)

SeniorHybryda·KrakówFull-time·B2B

#471364·Dodano 5 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Python SQLData modelingDistributed systemsAI

Podsumowanie oferty

Build and own the data platform used across the organisation, making data available to products, operations, marketing, finance and AI applications. Develop pipelines, shared data models and APIs that connect source data to actions and outcomes.

Wymagania

Strong software engineering fundamentals and experience building and operating production systems, including testing, APIs, failure handling and maintainable design.
Strong SQL and practical experience with data modeling, pipelines and data-serving systems; ability to design data for operational and analytical use and reason about quality, history and consistency.
Strong Python skills and experience using it to build and operate production data pipelines, integrations and services, with testing and maintainable code.
Experience with event-driven or distributed systems, including schema evolution, idempotency, replay and consistency; ability to choose between batch and streaming approaches based on the need.
Track record of independently taking a defined problem from an incomplete brief to reliable production use, including filling requirements gaps, making design decisions, resolving dependencies and verifying results.
Practical use of AI coding tools and agents, backed by technical judgment, code review and testing; accountability for generated work.
Ability to learn business domains, question assumptions and explain trade-offs to technical and nontechnical colleagues; clear communication in English and ownership through delivery and adoption.

Nice to have:

Experience building shared data platforms, operational data APIs, cloud data infrastructure or migrations between legacy and new systems.
Experience with change data capture, orchestration, transformation frameworks, data lineage or automated data-quality checks.
Experience with feedback loops for AI systems, retrieval, experiment infrastructure or connecting model and agent decisions to observed outcomes.

Obowiązki

Work with teams across the organisation to understand what they need to build or automate, and turn recurring needs into shared data services and interfaces.
Build pipelines and services that collect, transform and deliver data to operational applications, analytical systems and AI workflows, including retries, duplicate events, late-arriving data and replay.
Capture business events and state changes for customers, orders, payments, subscriptions and fulfillment, establishing identifiers, schemas and history to connect activity across the customer journey.
Build closed feedback loops connecting inputs, decisions and actions to outcomes for experiments, model and agent evaluation, and improvements to automated workflows.
Build quality checks, lineage and monitoring; detect missing, stale or inconsistent data, trace failures to their source and prevent bad inputs from silently affecting customer experiences or automated decisions.
Connect legacy and new systems while improving data models and contracts, and validate migrations and changes without disrupting dependent services and workflows.
Build datasets, APIs and retrieval interfaces that give teams and AI agents access to current and historical context; clarify permissions, provenance and freshness, and capture outcomes.
Use AI tools throughout implementation, debugging and testing; own deployment, performance, cost and operational documentation.

Benefity

Stock options and an annual bonus.
A flexible benefits allowance to spend on what matters to you.

Udziały pracownicze

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