Himalayas · Partner listingData Manager (FME)
EUROPEAN DYNAMICS
⌖ United KingdomSalary not providedRemoteNot specified · Full-time
Source: Himalayas ↗
Location & working arrangementWorking arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See (Vatican City State), Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom, Åland Islands
About the role
We currently have a vacancy for a Data Manager (FME) fluent in English, to offer his/her services as an expert remotely (within EU). In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site.
Tasks:
Design and implement automated data flows to integrate data and processes into the contracting authority’s systems and databases (historical data migration and new ETL flows);
Performance monitoring and improvement of existing and new ETL flows;
Ensure data quality is properly defined, documented, analysed and monitored;
Support data analysis, modelling and visualisation in close collaboration with internal stakeholders, such as disease surveillance experts and fellow data managers.
Requirements
University degree within the field of computer science, data science, or another related field; with at least three years of experience in data management/analysis OR non-university degree with at least five years of experience in data management/analysis;
Minimum 3 years of recent experience in handling large complex data sets, working with data warehouses and data marts using FME;
A certification/training in FME and TransactSQL is required;
Experience in data management/analysis in infectious diseases, epidemiology or public health will be considered an asset;
Experience in TransactSQL and Python/or R will be considered an asset;
Excellent command of the English language.
Benefits
If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (DM/07/2026).
We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
You may also consider all our other open vacancies by visiting the career section of our web site (www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS () is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion
EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.
Originally posted on Himalayas
Skills mentioned in the listing
Special educational needsPythonData analysisData scienceETL
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Special educational needs · mentioned
ural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (DM/07/2026). We offer a competitive remuneration (either on contract basis or remun
Python · requirement-context
gy or public health will be considered an asset; Experience in TransactSQL and Python/or R will be considered an asset; Excellent command of the English language. Benefits If you are seeking a career in an exciting an
Data analysis · mentioned
data quality is properly defined, documented, analysed and monitored; Support data analysis, modelling and visualisation in close collaboration with internal stakeholders, such as disease surveillance experts and fello
Data science · requirement-context
anagers. Requirements University degree within the field of computer science, data science, or another related field; with at least three years of experience in data management/analysis OR non-university degree with at
ETL · mentioned
tracting authority’s systems and databases (historical data migration and new ETL flows); Performance monitoring and improvement of existing and new ETL flows; Ensure data quality is properly defined, documented, ana