{"id":2038729,"url":"https://alion.io/job/dentsu-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":888,"name":"dentsu","domain":"dentsu.com","url":"https://alion.io/company/dentsu-polska","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":145,"ghost_share":0.007,"stale_share":0.717,"repost_share":0.055,"time_to_fill_p50_days":22,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgrade, Serbia","Prague, Czech Republic"],"countries":["RS","CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":84000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"DynamoDB","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"MS SQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-07T17:07:27Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T03:51:25Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description:\nWe Dream. We Do. We Deliver.\nMerkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle's expertise has earned recognition as a \"Leader\" by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC. For more information, visit www.merkle.com.\nWho are we looking for\nWe are now looking for a savvy Data Engineer to join our team of data heroes! We are open to both mid level and senior profiles.\nYou will be responsible for designing and building big data architecture pipelines for data lake houses in cloud, as well as optimizing and productionizing machine learning and predictive models.\nThe ideal candidate is an experienced software engineer and data wrangler who enjoys building complex platforms from the ground up, using the latest technologies in cloud. You will cooperate with data architects and data scientists on large data projects for the biggest international brands, as well as build an internal platform framework to ensure consistent & optimal delivery. You should be a versatile self-starter eager to roll out next-gen data architectures, comfortable supporting multiple technologies/teams/solutions/clients,and also a great team player able to work within our international team with a positive, startup-minded attitude.\nWhat will you do\nDesign and implement data ingestion and processing of various data sources using public cloud services.\nWork with stakeholders to assist with data-related technical issues and support their data infrastructure needs, like optimizing existing data delivery, re-designing infrastructure for greater scalability, etc.\nCollaborate with Business Intelligence consultants and assemble large and complex data sets that meet functional and non-functional business requirements for data lakehouse.\nSupport machine learning teams in deployment and optimization of AI / Machine Learning models and other data algorithms.\nDevelop data pipelines to provide actionable insights into marketing automation, customer acquisition and other key businesses areas.\nUse infrastructure as a code and CI/CD tools to automate release automation pipelines.\nDocument data pipelines and logic in a structured manner using Confluence, plan your activities using Agile methodology in Jira.\nSupport pre-sales by proposing technical solutions and accurate effort estimation.\nWhat do we expect\nExperience in building and productionizing big data architectures, pipelines and data sets.\nUnderstanding data concepts and patterns of big data, data lake, lambda architecture, stream processing, DWH, and BI.\n3-7 years of experience in a Data Engineer role, who has attained experience using the following software/tools:Advanced Python programming.Experience with other object-oriented / functional / scripting languages like Bash, Scala, Java, R, PowerShell etc.Data related services from Azure, AWS, and GCP public clouds.Big data technologies like Databricks, Fabricm, AWS Glue, Snowflake, Dataproc, BigQuery, etc.Extensive working experience with relational databases like MS SQL, Postgres, Aurora DB and NoSQL databases like DynamoDB, MongoDB, Elasticsearch, Redis, etc.Streaming technology services like Kafka, Event Hubs, and Kinesis, etc.Orchestration, compute, and ETL services like dbt, Airflow, Cloud Composer, AWS Step Functions, AWS Lambda, Azure Functions etc.\nStrong analytic skills related to working with structured and unstructured datasets.\nBuild processes supporting data transformation, data structures, metadata, dependency and workload management.\nExperience in setting up and using CI/CD automation tools like Azure DevOps, GitHub actions, Jenkins, etc.\nPerson who is precise, well organized, has good communication skills, can adapt to changing circumstances and is not afraid of responsibility for his / her work will do great in this role.\nWe will be over the moon if you also have\nExperience in delivery of business intelligence projects, using tools like Power BI, Tableau, Looker.\nUnderstanding of web-tracking frameworks such as Adobe Analytics and Google Analytics.\nExperience with Salesforce Cloud services.\nWhy choose Merkle?\nInnovation at Our Core: As part of dentsu’s global network, Merkle pushes the boundaries of customer experience,integrating creativity, technology, and data to drive real-world impact. For over 35 years, we’ve been innovating to meet the changing needs of our clients.\nGlobal Reach with Local Expertise: With over 16,000 employees across 30+ countries, and part of a 70,000 employees network at dentsu, Merkle blends global insights with a deep understanding of local markets to deliver personalized, effective solutions.\nCollaborative Culture: At Merkle, your ideas and contributions truly matter. You’ll join a team that fosters innovation,collaboration, and creative problem-solving. Together, we work on impactful international projects,making meaningful connections every step of the way.\nWhat’s in It for You?\nGlobal Perspective: As part of a dentsu company, collaborate with over 70,000 talented colleagues across145 countries to drive innovation on a global scale.\nFlexibility & Balance: Enjoy hybrid work models, adaptable hours, and home office options.\nInclusive & Supportive Culture: We celebrate diversity and foster a respectful workplace where every team member’s unique perspective is valued, and everyone is welcome.\nWell-balanced reward package: We offer competitive salaries, volunteer days, wellness days, modern offices, and a multi-cultural environment that fosters creativity and innovation.\nInnovation-Driven Work: Contribute to projects that are reshaping industries and driving transformation withnext-generation technologies and strategies.\nPurpose-Driven Culture: Be part of an organization that fosters sustainable growth for brands, people, and society-where every contribution makes a meaningful impact.\n Growth Opportunities: Expand your skills through training, mentorship, and data-driven projects that reshape customer experience and business outcomes. Explore opportunities in the whole dentsu network to expand your reach.\n*many more attractive benefits are waiting for you, for more details regarding additional benefits, please ask your recruiter.\nReady to join the team? Shape your unique career and reach your full potential. Apply now and join us in transforming the future together.\n*At dentsu, Diversity, Equity, and Inclusion (DEI) is central to our vision: \"To be at the forefront of people-centeredtransformations that shape society.\"\nWe cherish the unique talents and perspectives of all individuals, welcoming applicants regardless of gender, gender identity, nationality, religion, ethnicity, cultural background, sexual orientation, age, physical or mental ability. By embracing diverse perspectives, we create meaningful change and sustainable growth for our people, clients, and society. Our hiring decisions are guided by qualifications androle-specific requirements, ensuring a workplace free from discrimination and harassment.\n#LI-MERKLE #LI-SOFI\nLocation:\nBelgrade - Bulevar kralja Aleksandra 28Brand:\nMerkleTime Type:\nFull timeContract Type:\nPermanent","description_format":"text","description_chars":7714,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Growth opportunities","Home office","Hybrid work"],"hiring_locations":[{"name":"Serbia","iso":"RS","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","Creative Agencies","E-commerce Marketing","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-10-07T17:07:27Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.626,"p_room":1,"age_days":4,"expected_fill_days":22,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/dentsu-senior-data-engineer-2","json_url":"https://alion.io/job/dentsu-senior-data-engineer-2.json","meta":{"generated_at":"2026-10-12T11:42:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18207,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":888},"rest":"https://alion.io/mcp/rest/get_company?id=888"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdentsu-senior-data-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdentsu-senior-data-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdentsu-senior-data-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dentsu-senior-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdentsu-senior-data-engineer-2"}]}