Data Engineer

~23k - 24k PLN23 000 - 24 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

150 - 175 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·LublinFull-time·Umowa o pracę·B2B

#471461·Dodano 5 dni temu·2

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

SnowflakePower BISQLDAXAzure Synapse AnalyticsETL/ELT

Podsumowanie oferty

Design and maintain scalable data pipelines, integrations and analytics solutions across the organisation. Work with Snowflake, Azure Synapse Analytics and Power BI, collaborating with Development, Cloud and Security engineering teams.

Wymagania

Minimum 5 years’ experience in data engineering, data warehousing or business intelligence roles.
Strong hands-on experience with Snowflake or an equivalent cloud data warehouse platform.
Proven experience with Power BI, including data modelling, DAX and report/dashboard development.
Experience building and maintaining ETL/ELT pipelines and integrations, including work with legacy systems.
Practical experience using AI-assisted tooling to improve data engineering delivery.
Advanced SQL skills and experience with data modelling approaches, including dimensional modelling and star schemas.
Experience working with cloud platforms (Azure, AWS or GCP) and cloud-native data services.
Understanding of data governance, data quality and data security principles.
Experience collaborating with Development, Cloud and Security engineering teams in cross-functional contexts.
Fluent English.

Nice to have:

Experience with Azure Synapse Analytics is desirable.

Obowiązki

Responsibilities:

Design, build, support and maintain scalable, secure data pipelines and integrations across the organisation’s data estate.
Develop and maintain data models, ETL/ELT pipelines and analytics solutions using Snowflake, Azure Synapse Analytics, Power BI and related tooling.
Take accountability for the quality, performance and operational support of delivered data solutions, including legacy integrations.
Promote responsible use of AI-assisted tooling, including GitHub Copilot and Claude, to improve development speed, quality and efficiency.
Collaborate with Development, Cloud and Security engineering teams to ensure data solutions are architected, delivered and operated securely and reliably.
Troubleshoot and resolve complex data quality, performance and integration issues across modern and legacy platforms.
Maintain and support existing legacy data integrations, ensuring continuity of service while planning and executing modernisation where appropriate.
Build and maintain dashboards, reports and self-service analytics capabilities in Power BI for business stakeholders.
Engage with business stakeholders to understand data and reporting requirements and translate them into technical solutions.
Apply a security-first approach to the design and development of data solutions, ensuring compliance with governance, privacy and regulatory requirements.
Contribute to the definition and evolution of data architecture, standards and best practices across the organisation.
Provide estimates of time and effort for data engineering tasks and projects, and support capacity planning.
Partner with Cloud and Development teams to ensure data platforms scale effectively within cloud infrastructure.

Benefity

Significant influence over planning your own work, selecting tools and proposing architectural improvements.
Opportunity to work on projects incorporating AI and process automation.
Professional development opportunities relevant to data engineering, cloud platforms and analytics tooling.
Luxmed Gold Extended medical care and Multisport Plus benefit.

Opieka zdrowotna

Karta sportowa

YourITeams

82 aktywne oferty

Zobacz wszystkie oferty

Aplikuj teraz