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Data Engineer

3 miesięcy temu


Krakow, Polska emagine sp. z o.o. Pełny etat

technologies-expected :
Java
SQL
BigQuery
Google Cloud Platform
Redshift
AWS

about-project :
Industry: banking
Location: Cracow – 1x peer week at the office / other location - 1x peer month
Rate: to be agreed
Project language: English, Polish

responsibilities :
Collate, structure, and organise raw data into formats ready for interpretation.
Driving vague scope and requirements to completion and working with IT teams for delivery
Act as a trusted advisor to the Leadership in the decision-making processes.
Ability to work closely with regional heads focusing on management information system.
Extract data, identify and investigate patterns, dig into areas of inconsistency, accurately interrupt trends.
Ensure quality Management Information (M.I.) is made available, formatted, and presented for decision making.
Raise the profile of the organisation through effective communications and recognition.
Have both analytical and technical abilities.
Collate, structure, and organise raw data into formats ready for interpretation.

requirements-expected :
Experience in a finance / banking setting preferable within Investment Banking, security services or Markets.
Experience working closely with front office, senior stakeholders, Technology, and the global team.
Ability to build production ready data pipelines using cloud native technologies to ingest and prepare data for analysis.
Ability to work with data scientist to convert their data requirements into reliable production data into existing big data environments.
Hands on ability to create meaningful data visualisation to derive meaning from raw data.
Technical ability and skills will include Java, SQL, experience of cloud BigData technologies such as BigQuery in GCP, Redshift in AWS etc.
Familiarity with Technology delivery and Agile practices to challenge and solve / unblock issues.
Proven track record of driving process improvement initiatives.
Ability to multitask, work under pressure, and prioritize competing priorities.
Experience of proactively working with technology teams to procure and design Securities Financing data structures that are optimised for machine learning.

offered :
Interesting and stable development projects and long-term cooperation.
Attractive remuneration in the B2B model depending on competences and experience.
Co-financing of private medical care (Medicover) and Multisport card.
Occasional company integration meetings.
Referral program.
Emagine mobile application – easy reporting of working time, quick access to new offers.

benefits :
sharing the costs of sports activities
private medical care
integration events