{"id":1408840,"url":"https://alion.io/job/if-data-engineering-lead-martech-azure-databricks-2","title":"Data Engineering Lead, MarTech (Azure Databricks)","company":{"id":1819970,"name":"If","domain":"if.se","url":"https://alion.io/company/if-se","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riga, Latvia","Tallinn, Estonia","Vilnius, Lithuania"],"countries":["LV","EE","LT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":5500,"max":7500,"currency":"EUR","period":"month","gross":true,"usd_annual":102396},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-18T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-01T05:10:52Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Are you an experienced Data Engineer with strong Databricks expertise who is ready to take the next step into people leadership? We are looking for a motivated and technically strong Data Engineering Lead to build and develop our new MarTech Data Engineering Team, delivering reliable data products and services on Azure Databricks.\nAs Data Engineering Lead, you will combine technical leadership with people leadership, supporting the growth, capability development, and engagement of the chapter members while driving engineering excellence across the MarTech domain.\nAbout the role\nWe are looking for a Data Engineering Lead to coach, lead and mentor data engineers while fostering collaboration, sharing best practices, and driving continuous improvement.\nYou bring several years of practical experience in end-to-end data engineering, preferably in a lead role within a large-scale cloud environment. You enjoy helping others grow and are passionate about creating high-performing engineering teams.\nAbout the team\nThe CRM & Marketing Solutions IT unit delivers omni-channel personalization services for our Nordic customers using platforms such as Bloomreach Engagement CDP and Salesforce Marketing Cloud.\nWe develop data products and services on Azure Databricks with high expectations for reliability, scalability, availability, and accuracy. We operate in an Agile and DevOps environment and work closely with both business and IT stakeholders across the Nordics and Baltics.\nOur teams are friendly, supportive, and self-driven. We value collaboration, knowledge sharing, and continuous learning while building modern data and marketing technology capabilities.\nWhat are you going to do?\nBuild and lead a distributed team of talented data engineers across the Nordic countries and Latvia.\n\nSupport the professional growth, engagement, and development of chapter members.\n\nSet high standards for data ownership, quality, reliability, and delivery.\n\nFoster a collaborative, supportive, and learning-oriented engineering culture.\n\nPromote sound engineering principles, including reusability, automation, testing, security, and scalable data products.\n\nActively contribute to solution development while coaching and mentoring engineers in Azure Databricks.\n\nEnable engineers to architect, build, and operate cost-efficient, production-grade data products, pipelines, and lakehouse services with a focus on trusted business-ready data.\n\nEstablish chapter-wide engineering practices covering data quality, governance, CI/CD, Infrastructure as Code, and operational excellence.\n\nDrive standardization, modular design, scalability, and cost efficiency across the Azure data platform.\n\nBuild strong engineering capabilities and communities of practice across teams and domains.\n\nWhat do we expect from you?\nYou are proficient in:\nAzure Databricks (PySpark/SQL)\n\nDBT\n\nAzure Data Factory\n\nCloud storage solutions\n\nModern data pipeline development\n\nFluency in English, with the ability to make complex technical concepts understandable and actionable for both engineers and business stakeholders.In addition, to understand one of the Baltic languages to collaborate in an international environment.\n\nIn addition:\nYou have experience in Data modelling, Lakehouse architecture, Streaming, Data governance, Data quality and platform engineering.\n\nYou are passionate about Agile development, continuous improvement, and fostering a culture of learning, curiosity, and professional growth.\n\nYou hold a university degree in Software Engineering, Data Engineering, Computer Science, or a related field, or possess equivalent practical experience.\n\n We offer\nMonthly salary: €5500-7500 gross, if you are employed in Lithuania; €5000-6500 gross, if you are employed in Latvia; €6000-7500 gross, if you are employed in Estonia*. Additionally, there is an annual bonus. (*Please note that the specific amount varies due to different employment taxation in Baltic countries.)\n\nStrong company culture: knowledge sharing, company events, interesting speakers, and other inspiring initiatives\n\nCareer and development opportunities (e.g. 3 dedicated up-skilling days) in the biggest insurance company in the Nordics\n\nChallenging and exciting projects with autonomy to plan own tasks\n\nExtra vacation days, annual bonus, great insurance benefits, discounts on our products for you and your family, gifts, etc.\n\nPossibility of hybrid work, where office is our primary workplace\n\nA recently renovated office in Riga centre with a 24/7 gym on the premises\n\nRead more aboutbenefits for our employees.\nApplication deadline:October 30, 2026\nYour application will be processed according to ourprivacy notice .","description_format":"text","description_chars":4681,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Company events","Continuous learning","Hybrid work"],"hiring_locations":[{"name":"Latvia","iso":"LV","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-28T18:45:35Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.774,"p_room":0.9,"age_days":13,"expected_fill_days":22,"reasons":["conf:0","velocity","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":102396,"is_top_pay":false},"html_url":"https://alion.io/job/if-data-engineering-lead-martech-azure-databricks-2","json_url":"https://alion.io/job/if-data-engineering-lead-martech-azure-databricks-2.json","meta":{"generated_at":"2026-10-01T20:16:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2870,"day_limit":5000,"remaining_today":2130,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}