AgileEngine

Analytics Engineer

5200 - 7245 USD/ mies./ mies.B2BB2B (netto)

SeniorZdalnie·KrakówFull-time·B2B

#466653·Dodano 9 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

TableauQlikPower BISQL Snowflake Databricks PySparkETL/ELTdata analytics

Podsumowanie oferty

Analyze and visualize large-scale IT infrastructure and asset data for internal stakeholders, building data pipelines and dashboards. The work uses SQL, PySpark, Databricks or Snowflake, and Power BI, Tableau, or Qlik.

Wymagania

At least 4 years of experience in data analytics, strong quantitative and qualitative analytical skills, and a track record of solving complex data problems.
Experience building ETL/ELT pipelines, ideally with PySpark, Databricks, or Snowflake, or equivalent modern cloud technologies.
Advanced, production-grade SQL skills for complex queries, data joins, and analytical operations across large-scale systems.
Hands-on experience with large-scale enterprise datasets related to IT infrastructure, hardware or software assets, network configurations, or cloud resources.
Proficiency creating interactive dashboards using Power BI, Tableau, or Qlik.
Excellent oral and written communication skills, including the ability to lead data-focused discussions and customer-facing interactions independently.
Practical knowledge of and experience using AI technologies, generative AI tools, and LLM framework integrations.
Upper-intermediate English.

Nice to have:

Hands-on experience with ServiceNow data models, Configuration Management Databases (CMDB), or ServiceNow development.
Experience designing or maintaining strategies for enterprise authoritative data sources.
Knowledge of enterprise data governance frameworks, compliance standards, internal audit protocols, and risk management processes.
Expertise in end-to-end data mapping, complex transformations, and normalization across disparate datasets.

Obowiązki

Data Analysis & Visualization:

Design, build, and maintain interactive Power BI or equivalent dashboards to deliver clear metrics on enterprise infrastructure, assets, and operational risks.

ETL/ELT Data Engineering:

Develop, optimize, and maintain data transformation pipelines processing large volumes of asset and infrastructure data.

Stakeholder & Client Leadership:

Engage with customers, business partners, and engineering teams to identify requirements, translate business needs into data solutions, and resolve complex data challenges independently.

Data Querying & Modeling:

Write complex, optimized SQL queries to manipulate, validate, and extract insights from large-scale, multi-source databases.

AI & Automation Integration:

Evaluate and use AI tools and technologies to improve data processing workflows, analytical modeling, and operational efficiency.

Data Quality & Governance:

Assist in defining data mappings, transformations, and schema normalizations to maintain data integrity.

Benefity

Mentorship, TechTalks, and personalized growth roadmaps.
Budgets for education, fitness, and team activities.
Flexible schedule.

Elastyczne godziny

Dofinansowanie szkoleń

Spotkania integracyjne

Inne informacje

Recruitment includes an online form, a 30–60-minute skills assessment, a 5-minute introduction video, a technical interview with the engineering team, and a final interview with future teammates.

AgileEngine

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