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Senior Data Engineer / Manager

Job ID: R-11532 Category: Data & Analytics Location: Istanbul, Istanbul Date posted: 05/19/2021
A man sits by a Unilever logo A smiling girl wears a pink hard hat and holds up Unilever products



Unilever is driving digital transformation deliver 4G growth. Our mission is to transform our organization to a digital first culture, delivered by a world-class data and insights team, leaping ahead of our competition in everything we do. 

UL’s D&A Market teams will lead the path for UL to becomedata-intelligent. The team will do this by delivering advanced products at scale, enabling UL functions,UniOpsand leadership teams to turn data into insights,actionsand decisions at a faster pace than ever before to achieve competitive edge for UL.

Each Market team consisting of technical (data engineering and science) expertise as well as functional business insight generation expertise (e.g. Finance, CMI, CD)  will work with other Market teams and the D&A Global team to ensure that insights discovered locally are joined up and enhanced with regional/globally-discovered or researched insights to enable joined-up recommendations and decisions aimed at driving incremental growth by meeting the needs of our consumers, customers and employees.   

With the ULE looking to D&A Market teams to power the exponential growth of UL in an in increasingly VUCA (volatile, uncertain,complexand ambiguous) context, it is imperative that D&A Market teams are organised to be highly adaptive and flexible to demand, fast-changing priorities and emergent opportunities.  To do this, it will be important for the D&A Market team to have an agile mindset, org structure and ways of working (beyond agile tools and techniques) – to embrace uncertainty, ambiguity, and to create structure out of chaos.

There are five major themes in the Data and Analytics global strategy that will relate to the work of D&A Market teams:

Deliver Intelligent systems at scale.Powering Business (cross functional) and Customer Development area through data and analytics. Building out the right applications to enable business teams to move faster, with more accurate and future looking decisions leveraging Big Data & Data Science.

Winning disproportionately.  Creating analytics products that make a significant impact on our business and drive competitive advantage in the market, while collaborating appropriately with other markets and Global teams (i.e.winning both locally and globally for UL).

Drive Unilever to assisted and predictive decision-making.The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.

Make data a true asset.Better data and data science access for every part of Unilever, across the 3 data framework (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.

World-class Information.One Version of the Facts. Continued excellence in delivery of diagnostics andinsights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting 


This team is responsible for managing the market’s demand for data,analyticsand insights.  It will lead data analytics, data warehousing, research development and implementation of appropriate data systems and analytic solutions.  It is also responsible for streamlining in-scope processes related to data analytics and insights generation in the market, through automating,consolidatingand eliminating them where appropriate to deliver a seamless, fast insights-generation experience using tooling provided by the Global D&A team.

We are looking for apassionateSeniorDataEngineer,whoenjoysbuilding andoptimising data systemsThe role works closely with theNAMETRUB D&A Team andGlobal D&Aorganisation.


This rolewill provide technical data leadership inour D&A Marketteam. You will be responsible forcreating, expanding,optimisingand managing our datadepositorywarehouse and data pipeline architecture, as well as optimising data flow and collection. This rolewill support our data initiatives and will ensure optimal data delivery architecture is consistent throughoutthe organisation andongoing projects. 

Main accountabilities:

Be the expert in UL Data, current and future

Create and maintain optimal data pipeline architectureto balance performance and cost

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery,refactoring current architecture, data governance inc. lineage,catalogueand quality.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources usingSQL, Data Warehousing,PySpark/Spark, Python and Cloud technologies.

Work with software engineering best practices such as version control, continuous integration and test-driven developmentincluding Azure Dev Ops and Git.

WorkwithMS Azureincluding Databricks (Pysparkand Delta Lake), Data Factory, Dev Ops, ADLS, Blob Storage and Power BI Datasets

Use of advanced SQL skills and an understanding of query and storage optimisation

Ensure that deliverables meet or exceed functional, technical and performance requirements

Contribute to the development of your own and team’s technical acumen

Continuous learning of new tools &technologiesvia external sources that brings direct value to the business 



  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

  • Experience building and optimising data pipelines,architecturesand datasets

  • Working knowledgeofarchitectures to support advanced analytics and data science

  • Strong analytic skills related to working with unstructured datasets

  • Knowledge about and experience of use of data to deliver business insights and transform delivery in an FMCG context

  • Experience with building processes supporting data transformation, data structures,dependencyand workload management

  • A successful history of manipulating, processing and extracting value fromlarge disconnecteddatasets

  • Working knowledge of message queuing, stream processing, and highly scalable data stores

  • Experience supporting and working with cross-functional teams in a dynamic environment


  • Basicknowledge ofbuilding advanced and repeatable analytics models that enable the business to make better decisions, drive 4G, and gain competitive advantage

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

  • Understanding of end-to-end processes and key cycles from a Market (local) perspective

  • Basicexperience of leading a team of specialists

  • Basic people management skills


  • B.S. or M.S in a relevant field (Business Analytics, Operations Research), or PhD, M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics) 

  • Overall 5+ years experience in data engineering 

  • Experience with Azure cloud services (Azure Databricks, Azure Data Factory, Azure DevOps, Azure Analysis Services and ADLS)

  • Experience with PowerBI (including Dax and M)

  • Experience with relational SQL and NoSQL databases

  • Proven familiarity with Data Governance processes and managing data quality, access,lineageand profiling using automated testing and continuous integration where relevant.

  • Working knowledge of SQL,Pythonand Spark.

  • Naturalcuriosity and imagination to create novel business solutions  


  • Data Expertise

  • Machine Learning

  • Project Management

  • Python

  • Agile delivery

  • Dashboard development

  • Data Warehouses, Data Lakes and Databasemanagement

  • Data querying, processing and ETL

  • Data management principles

  • Data modelling

  • System and process design

  • Coding and testing

Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.

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