{"id":893566,"url":"https://alion.io/job/backtick-data-engineer","title":"Data Engineer","company":{"id":696650,"name":"Backtick Technologies","domain":"backtick.se","url":"https://alion.io/company/backtick-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lund, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":114000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Dagster","optional":true},{"name":"Dask","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"Linux","optional":true},{"name":"MinIO","optional":true},{"name":"MQTT","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"RabbitMQ","optional":true},{"name":"Redis","optional":true},{"name":"Scala","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Trino","optional":true}],"status":"live","first_seen_at":"2024-11-11T21:20:46Z","employer_posted_date":"2024-11-11","last_verified_at":"2026-11-06T17:54:26Z","board_verified":true,"closed_at":null,"days_open":724,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":724},"description":"About you\nWe’re looking for a data engineer who’s curious, collaborative and ready to work with modern technologies in a team that values transparency, quality, and innovation. You’ll be part of a humble and supportive group of engineers who enjoy building meaningful solutions for both clients and internal projects.\nYou’ll spend your days working with code and data at scale, so a genuine interest in programming and problem-solving is key. If you like working across disciplines, sharing ideas, and learning from others, you’ll feel right at home here.\nWhat you’ll do\nYour focus will be to design and build systems for large-scale data using modern tools and frameworks. You’ll work on challenges like:\nDesigning scalable and high-performance data storage solutions\n\nDecoupling data ingestion, storage, and compute\n\nCreating effective schemas and partitioning strategies\n\nRunning large-scale ETL and analytics with distributed computing systems\n\nBuilding and maintaining data pipelines\n\nMaking data more discoverable and easier to use for data scientists\n\nSelecting and integrating open-source tools for robust data platforms\n\nWhat we value\nEmpathy and a collaborative mindset\n\nCuriosity and an eagerness to improve things\n\nClean, maintainable code with room for the occasional quick fix when needed\n\nA balance between simplicity and performance\n\nExperience that would help\nYou don’t need to tick every box, but here are some of the technologies we work with daily:\nAt least 3 years of relevant experience\n\nPython, Scala, or Go\n\nDatabricks, Snowflake\n\nObject storage (S3, Minio) and big data formats (Parquet, Avro)\n\nDelta / Apache Iceberg\n\ndbt, Spark, Dask, Trino\n\nKafka, RabbitMQ, MQTT\n\nPostgres, MongoDB, Redis\n\nAirflow, Dagster\n\nGH Actions, Docker, Kubernetes, Linux, Git\n\nWorking at Backtick\nWe’re a small, dedicated team with a flat structure and a culture built on trust. We care about delivering value to our customers while creating an environment where our colleagues can thrive. That means investing in R&D, encouraging side projects and making sure work stays both challenging and enjoyable.\nEvery year, we organize team getaways, an autumn adventure and our popular “Codecation” hackathon. 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